{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "    <img src=\"https://github.com/GeostatsGuy/GeostatsPy/blob/master/TCG_color_logo.png?raw=true\" width=\"220\" height=\"240\" />\n",
    "\n",
    "</p>\n",
    "\n",
    "## Machine Learning Introduction  \n",
    "\n",
    "### Machine Learning Modeling in Python with scikit-learn Pipelines \n",
    "\n",
    "#### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "##### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1) | [GeostatsPy](https://github.com/GeostatsGuy/GeostatsPy)\n",
    "\n",
    "###  Machine Learning Modeling Pipelines\n",
    "\n",
    "Machine learning workflows can be complicated, with various steps:\n",
    "\n",
    "* data preparation, feature engineering transformations\n",
    "\n",
    "* model parameter fitting\n",
    "\n",
    "* model hyperparameter tuning\n",
    "\n",
    "* modeling method selection\n",
    "\n",
    "* searching over a large combinatorial of hyperparameters\n",
    "\n",
    "* training and testing model runs\n",
    "\n",
    "Pipelines are a scikit-learn class that allows for the encapsilation of a seuqence of data preparation and modeling steps\n",
    "\n",
    "* then we can treat the pipeline as an object in our much condensed workflow\n",
    "\n",
    "The pipeline class allows us to:\n",
    "\n",
    "* improve code readability and to keep everything straight\n",
    "\n",
    "* avoid common workflow problems like data leakage, testing data informing model parameter training \n",
    "\n",
    "* abstract common machine learning modeling and focus on building the best model possible\n",
    "\n",
    "The fundamental philosophy is to treat machine learning as a combinatorial search to find the best model (AutoML)\n",
    "\n",
    "#### Machine Learning-based Prediction\n",
    "\n",
    "Predictive machine learning methods with supervised learning: \n",
    "\n",
    "**Prediction**\n",
    "\n",
    "* non-parametric method for regression and classification\n",
    "\n",
    "* a function $\\hat{f}$ of the nearest $k$ training data in predictor feature space such that we predict a response feature $Y$ from a set of predictor features $X_1,\\ldots,X_m$. \n",
    "\n",
    "* the prediction is of the form $\\hat{Y} = \\hat{f}(X_1,\\ldots,X_m)$ \n",
    "\n",
    "**Suppervised Learning**\n",
    "\n",
    "* the response feature label, $Y$, is available over the training and testing data\n",
    "\n",
    "#### The Machine Learning Models\n",
    "\n",
    "This workflow includes the following models:\n",
    "\n",
    "* linear regression\n",
    "* k-nearest neighbor regression\n",
    "* decision tree regression\n",
    "* random forest regression\n",
    "* tree-based gradient boosting regression  \n",
    "\n",
    "#### Getting Started\n",
    "\n",
    "Here's the steps to get setup in Python with the GeostatsPy package:\n",
    "\n",
    "1. Install Anaconda 3 on your machine (https://www.anaconda.com/download/). \n",
    "2. From Anaconda Navigator (within Anaconda3 group), go to the environment tab, click on base (root) green arrow and open a terminal. \n",
    "3. In the terminal type: pip install geostatspy. \n",
    "4. Open Jupyter and in the top block get started by copy and pasting the code block below from this Jupyter Notebook to start using the geostatspy functionality. \n",
    "\n",
    "If you want to work locally you will need to first copy the data file to your working directory. It is available here:\n",
    "\n",
    "* Tabular data - unconv_MV.csv found [here](https://github.com/GeostatsGuy/GeoDataSets/blob/master/unconv_MV.csv).\n",
    "\n",
    "You don't have to download the data if you want to load directly from my github account with the code below.\n",
    "\n",
    "#### Import Required Packages\n",
    "\n",
    "We will also need some standard packages. These should have been installed with Anaconda 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os                                                   # to set current working directory \n",
    "import math                                                 # basic calculations like square root\n",
    "from sklearn.neighbors import KNeighborsRegressor           # for nearest k neighbours\n",
    "from sklearn import tree                                    # decision trees\n",
    "from sklearn import metrics                                 # measures to check our models\n",
    "from sklearn.model_selection import cross_val_score         # cross validation methods\n",
    "import pandas as pd                                         # DataFrames and plotting\n",
    "import pandas.plotting as pd_plot\n",
    "import numpy as np                                          # arrays and matrix math\n",
    "import matplotlib.pyplot as plt                             # plotting\n",
    "from matplotlib import gridspec\n",
    "from subprocess import check_call\n",
    "from sklearn.model_selection import train_test_split        # train and test split\n",
    "from sklearn.preprocessing import StandardScaler            # data transformation\n",
    "from sklearn.pipeline import Pipeline                       # machine learning modeling pipeline\n",
    "from sklearn.pipeline import make_pipeline                  # machine learning modeling pipeline\n",
    "from sklearn.model_selection import GridSearchCV            # model hyperparameter grid search\n",
    "from sklearn.model_selection import KFold                   # k-fold cross validation\n",
    "seed = 73073                                                # random number seed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  \n",
    "\n",
    "#### Declare functions\n",
    "\n",
    "Let's define a couple of functions to streamline plotting correlation matrices and visualization of a decision tree regression model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_model(model,xfeature,x_min,x_max,x_label,yfeature,y_min,y_max,y_label,response,z_min,z_max,resp_label,title,legend=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    cmap = plt.cm.RdYlBu\n",
    "    plot_step = 0.02\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    cs = plt.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "\n",
    "    im = plt.scatter(xfeature,yfeature,s=None, c=response, marker=None, cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.3, edgecolors=\"black\")\n",
    "    plt.title(title)\n",
    "    plt.xlabel(x_label); plt.ylabel(y_label)\n",
    "    plt.xlim(x_min,x_max); plt.ylim(y_min,y_max)\n",
    "    if legend == True:\n",
    "      cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "      cbar.set_label(resp_label, rotation=270, labelpad=20)\n",
    "        \n",
    "def visualize_model_sub(ax,model,xfeature,x_min,x_max,yfeature,y_min,y_max,response,z_min,z_max,title,legend=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    cmap = plt.cm.RdYlBu\n",
    "    plot_step = 0.02\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    cs = ax.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "\n",
    "    im = ax.scatter(xfeature,yfeature,s=None, c=response, marker=None, cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.3, edgecolors=\"black\")\n",
    "    ax.set_title(title); ax.set_xlabel(xfeature.name); ax.set_ylabel(yfeature.name)\n",
    "    ax.set_xlim(x_min,x_max)\n",
    "    ax.set_ylim(y_min,y_max)\n",
    "    if legend == True:\n",
    "      cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "      cbar.set_label(response.name, rotation=270, labelpad=20)\n",
    "\n",
    "def visualize_model_wrap(model,ix1,ix2,iy,title,trans=True):\n",
    "    if trans == True:\n",
    "        visualize_model(model,X[features[ix1]],vmin_trans[ix1],vmax_trans[ix1],str(features[ix1]) + ' (' + str(units[ix1]) + ') ',\n",
    "                              X[features[ix2]],vmin_trans[ix2],vmax_trans[ix2],str(features[ix2]) + ' (' + str(units[ix2]) + ') ',\n",
    "                              y[features[iy]],vmin[iy],vmax[iy],str(features[iy]) + ' (' + str(units[iy]) + ') ',\n",
    "                              title,legend=True)# plots the data points and the decision tree prediction \n",
    "    if trans == False:\n",
    "        visualize_model(model,X_orig[features[ix1]],vmin[ix1],vmax[ix1],str(features[ix1]) + ' (' + str(units[ix1]) + ') ',\n",
    "                              X_orig[features[ix2]],vmin[ix2],vmax[ix2],str(features[ix2]) + ' (' + str(units[ix2]) + ') ',\n",
    "                              y[features[iy]],vmin[iy],vmax[iy],str(features[iy]) + ' (' + str(units[iy]) + ') ',\n",
    "                              title,legend=True)# plots the data points and the decision tree prediction \n",
    "\n",
    "        \n",
    "def visualize_tuned_model(k_tuned,k_mat,score_mat):\n",
    "    plt.scatter(k_mat,score_mat,s=5.0, c=\"red\", marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=0.2, linewidths=0.5, edgecolors=\"black\")\n",
    "    plt.plot([k_tuned,k_tuned],[0,10000000],color='black',linestyle=(6, (2,3)),label='tuned',zorder=1)\n",
    "    plt.title('k-fold Cross Validation Error (MSE) vs. k Nearest Neighbours'); plt.xlabel('Number of Nearest Neighbours'); plt.ylabel('Mean Square Error')\n",
    "    plt.xlim(k_min,k_max); plt.ylim(0,np.max(score_mat))\n",
    "    \n",
    "def visualize_tuned_model2(k_tuned,k_mat,score_mat):\n",
    "    plt.scatter(k_mat[0:len(k_mat):2],score_mat[0:len(k_mat):2],s=5.0, c=\"red\", marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=0.4, linewidths=0.5, edgecolors=\"black\",label='uniform',zorder=3)\n",
    "    plt.scatter(k_mat[1:len(k_mat):2],score_mat[1:len(k_mat):2],s=5.0, c=\"blue\", marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=0.4, linewidths=0.5, edgecolors=\"black\",label='distance',zorder=2)\n",
    "    plt.plot([k_tuned,k_tuned],[0,10000000],color='black',linestyle=(6, (2,3)),label='tuned',zorder=1)\n",
    "    plt.legend(loc='lower right')\n",
    "    plt.title('k-fold Cross Validation Error (MSE) vs. k Nearest Neighbours'); plt.xlabel('Number of Nearest Neighbours'); plt.ylabel('Mean Square Error')\n",
    "    plt.xlim(k_min,k_max); plt.ylim(0,np.max(score_mat))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"c:/PGE383\")                                       # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will have to update the part in quotes with your own working directory and the format is different on a Mac (e.g. \"~/PGE\").  \n",
    "\n",
    "#### Read the data table\n",
    "\n",
    "We use a data \"unconv_MV.csv\" comma delimited file from my GitHub [respository](https://github.com/GeostatsGuy/GeoDataSets).  \n",
    "\n",
    "* this code loads the data directly from my GitHub repository.\n",
    "* if you have the data file available locally (i.e. you are not connected to the internet) set the working directory to the location with the data file and use the second line below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_data = pd.read_csv(\"https://raw.githubusercontent.com/GeostatsGuy/GeoDataSets/master/unconv_MV.csv\")   # load the comma delimited data file\n",
    "#my_data = pd.read_csv(\"unconv_MV.csv\")                     # load the comma delimited data file locally"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize the first several rows of our data stored in a DataFrame so we can make sure we successfully loaded the data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WellIndex</th>\n",
       "      <th>Por</th>\n",
       "      <th>LogPerm</th>\n",
       "      <th>AI</th>\n",
       "      <th>Brittle</th>\n",
       "      <th>TOC</th>\n",
       "      <th>VR</th>\n",
       "      <th>Production</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>15.91</td>\n",
       "      <td>1.67</td>\n",
       "      <td>3.06</td>\n",
       "      <td>14.05</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.85</td>\n",
       "      <td>177.381958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>15.34</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.60</td>\n",
       "      <td>31.88</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1479.767778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>20.45</td>\n",
       "      <td>2.02</td>\n",
       "      <td>3.13</td>\n",
       "      <td>63.67</td>\n",
       "      <td>1.79</td>\n",
       "      <td>2.53</td>\n",
       "      <td>4421.221583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>1.14</td>\n",
       "      <td>3.90</td>\n",
       "      <td>58.81</td>\n",
       "      <td>0.40</td>\n",
       "      <td>2.03</td>\n",
       "      <td>1488.317629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>19.53</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.57</td>\n",
       "      <td>43.75</td>\n",
       "      <td>1.40</td>\n",
       "      <td>2.11</td>\n",
       "      <td>5261.094919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>19.47</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.73</td>\n",
       "      <td>54.37</td>\n",
       "      <td>1.42</td>\n",
       "      <td>2.12</td>\n",
       "      <td>5497.005506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>12.70</td>\n",
       "      <td>1.30</td>\n",
       "      <td>3.70</td>\n",
       "      <td>43.03</td>\n",
       "      <td>0.45</td>\n",
       "      <td>1.95</td>\n",
       "      <td>1784.266285</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   WellIndex    Por  LogPerm    AI  Brittle   TOC    VR   Production\n",
       "0          1  15.91     1.67  3.06    14.05  1.36  1.85   177.381958\n",
       "1          2  15.34     1.65  2.60    31.88  1.37  1.79  1479.767778\n",
       "2          3  20.45     2.02  3.13    63.67  1.79  2.53  4421.221583\n",
       "3          4  11.95     1.14  3.90    58.81  0.40  2.03  1488.317629\n",
       "4          5  19.53     1.83  2.57    43.75  1.40  2.11  5261.094919\n",
       "5          6  19.47     2.04  2.73    54.37  1.42  2.12  5497.005506\n",
       "6          7  12.70     1.30  3.70    43.03  0.45  1.95  1784.266285"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data[:7]                                                 # preview the first 7 rows of the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's remove the well index and check the summary summary statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>14.950460</td>\n",
       "      <td>3.029634</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>12.85750</td>\n",
       "      <td>14.98500</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>24.65000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.398880</td>\n",
       "      <td>0.405966</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>1.13000</td>\n",
       "      <td>1.39000</td>\n",
       "      <td>1.680000</td>\n",
       "      <td>2.58000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2.982610</td>\n",
       "      <td>0.577629</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>2.57750</td>\n",
       "      <td>3.01000</td>\n",
       "      <td>3.360000</td>\n",
       "      <td>4.70000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>49.719480</td>\n",
       "      <td>15.077006</td>\n",
       "      <td>-10.500000</td>\n",
       "      <td>39.72250</td>\n",
       "      <td>49.68000</td>\n",
       "      <td>59.170000</td>\n",
       "      <td>93.47000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.003810</td>\n",
       "      <td>0.504978</td>\n",
       "      <td>-0.260000</td>\n",
       "      <td>0.64000</td>\n",
       "      <td>0.99500</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>2.71000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.991170</td>\n",
       "      <td>0.308194</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>1.81000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.172500</td>\n",
       "      <td>2.90000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2247.295809</td>\n",
       "      <td>1464.256312</td>\n",
       "      <td>2.713535</td>\n",
       "      <td>1191.36956</td>\n",
       "      <td>1976.48782</td>\n",
       "      <td>3023.594214</td>\n",
       "      <td>12568.64413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count         mean          std        min         25%  \\\n",
       "Por         1000.0    14.950460     3.029634   5.400000    12.85750   \n",
       "LogPerm     1000.0     1.398880     0.405966   0.120000     1.13000   \n",
       "AI          1000.0     2.982610     0.577629   0.960000     2.57750   \n",
       "Brittle     1000.0    49.719480    15.077006 -10.500000    39.72250   \n",
       "TOC         1000.0     1.003810     0.504978  -0.260000     0.64000   \n",
       "VR          1000.0     1.991170     0.308194   0.900000     1.81000   \n",
       "Production  1000.0  2247.295809  1464.256312   2.713535  1191.36956   \n",
       "\n",
       "                   50%          75%          max  \n",
       "Por           14.98500    17.080000     24.65000  \n",
       "LogPerm        1.39000     1.680000      2.58000  \n",
       "AI             3.01000     3.360000      4.70000  \n",
       "Brittle       49.68000    59.170000     93.47000  \n",
       "TOC            0.99500     1.360000      2.71000  \n",
       "VR             2.00000     2.172500      2.90000  \n",
       "Production  1976.48782  3023.594214  12568.64413  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data = my_data.iloc[:,1:8]                               # copy all rows and columns 1 through 8, note 0 column is removed\n",
    "my_data.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is good that we checked the summary statistics, because we have some negative values for brittleness and total organic carbon. The is physically imposible.  The values must be in error. We know the lowest possible values are 0.0, so we will truncate on 0.0.  We use the *get_numerical_data()* DataFrame member function to get a shallow copy of the data from the DataFrame.  Since it is a shallow copy, any changes we make to the copy are made to the data in the original DataFrame.  This allows us to apply this simple conditional statement to all the data values in the DataFrame all at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>14.950460</td>\n",
       "      <td>3.029634</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>12.85750</td>\n",
       "      <td>14.98500</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>24.65000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.398880</td>\n",
       "      <td>0.405966</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>1.13000</td>\n",
       "      <td>1.39000</td>\n",
       "      <td>1.680000</td>\n",
       "      <td>2.58000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2.982610</td>\n",
       "      <td>0.577629</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>2.57750</td>\n",
       "      <td>3.01000</td>\n",
       "      <td>3.360000</td>\n",
       "      <td>4.70000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>49.731480</td>\n",
       "      <td>15.033593</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>39.72250</td>\n",
       "      <td>49.68000</td>\n",
       "      <td>59.170000</td>\n",
       "      <td>93.47000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.006170</td>\n",
       "      <td>0.499838</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.64000</td>\n",
       "      <td>0.99500</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>2.71000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.991170</td>\n",
       "      <td>0.308194</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>1.81000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.172500</td>\n",
       "      <td>2.90000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2247.295809</td>\n",
       "      <td>1464.256312</td>\n",
       "      <td>2.713535</td>\n",
       "      <td>1191.36956</td>\n",
       "      <td>1976.48782</td>\n",
       "      <td>3023.594214</td>\n",
       "      <td>12568.64413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count         mean          std       min         25%  \\\n",
       "Por         1000.0    14.950460     3.029634  5.400000    12.85750   \n",
       "LogPerm     1000.0     1.398880     0.405966  0.120000     1.13000   \n",
       "AI          1000.0     2.982610     0.577629  0.960000     2.57750   \n",
       "Brittle     1000.0    49.731480    15.033593  0.000000    39.72250   \n",
       "TOC         1000.0     1.006170     0.499838  0.000000     0.64000   \n",
       "VR          1000.0     1.991170     0.308194  0.900000     1.81000   \n",
       "Production  1000.0  2247.295809  1464.256312  2.713535  1191.36956   \n",
       "\n",
       "                   50%          75%          max  \n",
       "Por           14.98500    17.080000     24.65000  \n",
       "LogPerm        1.39000     1.680000      2.58000  \n",
       "AI             3.01000     3.360000      4.70000  \n",
       "Brittle       49.68000    59.170000     93.47000  \n",
       "TOC            0.99500     1.360000      2.71000  \n",
       "VR             2.00000     2.172500      2.90000  \n",
       "Production  1976.48782  3023.594214  12568.64413  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num = my_data._get_numeric_data()                           # get the numerical values\n",
    "num[num < 0] = 0                                            # truncate negative values to 0.0\n",
    "my_data.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's Build a Predictive Machine Learning Model\n",
    "\n",
    "We will complete the entire data transformation, model parameter training and model hyperparameter tuning workflow:\n",
    "\n",
    "1. step-by-step with low level code\n",
    "2. with a concise high level code using **pipelines**\n",
    "\n",
    "Here's our machine learning prediction model:\n",
    "\n",
    "\\begin{equation}\n",
    "y = f(X_1,X_2) + \\epsilon\n",
    "\\end{equation}\n",
    "\n",
    "We will use k-nearest neighbors regression, if you are interested in more details I have a lecture and examples online:\n",
    "\n",
    "* k-nearest nearbours [Lecture](https://www.youtube.com/watch?v=lzmeChSYvv8&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=30)\n",
    "\n",
    "* I have a lot of lectures available on machine learning in the Subsurface Machine Learning [Playlist](https://www.youtube.com/watch?v=5kBS5ThMHcU&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf) \n",
    "\n",
    "The general workflow is:\n",
    "\n",
    "A. **Data Preparation and Feature Engineering** - visualize the data, store feature labels and units, select 2 predictor features and standardize the predictor features to avoid biased predictions due to difference in the units. You can also add noise to the response feature to better observe model overfit.\n",
    "\n",
    "B. select 2 features so we can visualize the model\n",
    "\n",
    "Note, we select 2 features for ease of model visualization and to provide the opportunity to explore different models with the same dataset.\n",
    "\n",
    "### A. Data Preparation and Feature Engineering\n",
    "\n",
    "The k-nearest neighbour etc. method uses a nearest training sample search in feature space (like k-means clustering). To remove the impact feature range from the approach we standardize the features.\n",
    "\n",
    "* we will standardize our predictor features to have a mean of zero and a variance of one.\n",
    "* we use the scikikt learn preprocessing to simplify this step and to provide a reverse transform.\n",
    "\n",
    "We will also store the names, units and minimum and maximum values in arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.186273e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-3.153925</td>\n",
       "      <td>-0.691175</td>\n",
       "      <td>0.011406</td>\n",
       "      <td>0.703255</td>\n",
       "      <td>3.203157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>-2.957079e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-3.151793</td>\n",
       "      <td>-0.662653</td>\n",
       "      <td>-0.021885</td>\n",
       "      <td>0.692819</td>\n",
       "      <td>2.910864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.085621e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-3.503327</td>\n",
       "      <td>-0.701684</td>\n",
       "      <td>0.047442</td>\n",
       "      <td>0.653670</td>\n",
       "      <td>2.974660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.345590e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-3.309679</td>\n",
       "      <td>-0.666107</td>\n",
       "      <td>-0.003426</td>\n",
       "      <td>0.628143</td>\n",
       "      <td>2.910842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>-1.093570e-17</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-2.014001</td>\n",
       "      <td>-0.732944</td>\n",
       "      <td>-0.022358</td>\n",
       "      <td>0.708244</td>\n",
       "      <td>3.410473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>-3.831380e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-3.542302</td>\n",
       "      <td>-0.588138</td>\n",
       "      <td>0.028665</td>\n",
       "      <td>0.588658</td>\n",
       "      <td>2.950365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2.609024e-16</td>\n",
       "      <td>1.0005</td>\n",
       "      <td>-1.533683</td>\n",
       "      <td>-0.721496</td>\n",
       "      <td>-0.185038</td>\n",
       "      <td>0.530431</td>\n",
       "      <td>7.052394</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count          mean     std       min       25%       50%  \\\n",
       "Por         1000.0  1.186273e-16  1.0005 -3.153925 -0.691175  0.011406   \n",
       "LogPerm     1000.0 -2.957079e-16  1.0005 -3.151793 -0.662653 -0.021885   \n",
       "AI          1000.0  4.085621e-16  1.0005 -3.503327 -0.701684  0.047442   \n",
       "Brittle     1000.0  1.345590e-16  1.0005 -3.309679 -0.666107 -0.003426   \n",
       "TOC         1000.0 -1.093570e-17  1.0005 -2.014001 -0.732944 -0.022358   \n",
       "VR          1000.0 -3.831380e-16  1.0005 -3.542302 -0.588138  0.028665   \n",
       "Production  1000.0  2.609024e-16  1.0005 -1.533683 -0.721496 -0.185038   \n",
       "\n",
       "                 75%       max  \n",
       "Por         0.703255  3.203157  \n",
       "LogPerm     0.692819  2.910864  \n",
       "AI          0.653670  2.974660  \n",
       "Brittle     0.628143  2.910842  \n",
       "TOC         0.708244  3.410473  \n",
       "VR          0.588658  2.950365  \n",
       "Production  0.530431  7.052394  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transform = StandardScaler();\n",
    "my_data_trans = my_data.copy(deep = True)\n",
    "my_data_trans.iloc[:,:] = transform.fit_transform(my_data) \n",
    "my_data_trans.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature Attributes\n",
    "\n",
    "Let's store the features' attributes:\n",
    "\n",
    "* name\n",
    "* units\n",
    "* minimum value\n",
    "* maximum value\n",
    "\n",
    "To assist with all the plots and associated labels and color bars."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available features are ['Por' 'LogPerm' 'AI' 'Brittle' 'TOC' 'VR' 'Production'].\n",
      "Available features' units are ['Por' 'LogPerm' 'AI' 'Brittle' 'TOC' 'VR' 'Production'].\n",
      "Available features' minimum values are [5.4        0.12       0.96       0.         0.         0.9\n",
      " 2.71353485].\n",
      "Available features' maximum values are [2.46500000e+01 2.58000000e+00 4.70000000e+00 9.34700000e+01\n",
      " 2.71000000e+00 2.90000000e+00 1.25686441e+04].\n",
      "Available transformed features' minimum values are [-3.15392477 -3.15179313 -3.50332658 -3.30967893 -2.0140009  -3.54230176\n",
      " -1.53368327].\n",
      "Available transformed features' maximum values are [3.20315665 2.91086412 2.97466048 2.91084154 3.41047254 2.95036531\n",
      " 7.0523943 ].\n"
     ]
    }
   ],
   "source": [
    "features = np.array(my_data_trans.columns.tolist())               # array of feature names\n",
    "units = ['%','Log(mD)','kg/m2s*10^6','%','%','%','MCFPD']   # list of feature units\n",
    "vmin = my_data.min(); vmax = my_data.max() # list of feature minimums and maximums\n",
    "vmin_trans = my_data_trans.min(); vmax_trans = my_data_trans.max() # list of feature minimums and maximums\n",
    "\n",
    "print('Available features are ' + str(features) + '.')\n",
    "print('Available features\\' units are ' + str(features) + '.')\n",
    "print('Available features\\' minimum values are ' + str(vmin.values) + '.')\n",
    "print('Available features\\' maximum values are ' + str(vmax.values) + '.')\n",
    "print('Available transformed features\\' minimum values are ' + str(vmin_trans.values) + '.')\n",
    "print('Available transformed features\\' maximum values are ' + str(vmax_trans.values) + '.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset has variables from 1,000 unconventional wells including well average porosity, log transform of permeability (to linearize the relationships with other variables), accoustic impedance (kg/m2s*10^6), brittness ratio (%), total organic carbon (%), vitrinite reflectance (%), and initial production 90 day average (MCFPD).  Note, the dataset is synthetic.\n",
    "\n",
    "#### Working with Only Two Predictor Features\n",
    "\n",
    "Let's simplify the problem:\n",
    "\n",
    "* to 2 predictor features, Porosity and Brittleness to predict Production rate. \n",
    "* this is very easy to visualize the prediction model as a map over the predictor feature space.\n",
    "\n",
    "Select the 2 predictor features and the 1 response feature by index below with this code:\n",
    "\n",
    "```python\n",
    "ix1 = 0                                                     # select the predictor features\n",
    "ix2 = 3                                        \n",
    "iy = 6                                                      # select the response feature\n",
    "```\n",
    "\n",
    "Make sure the indices are between 0 and do not repeat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predictor features are ['Por' 'Brittle'], and the response feature is Production.\n"
     ]
    }
   ],
   "source": [
    "ix1 = 0                                                     # select the predictor features\n",
    "ix2 = 3                                        \n",
    "iy = 6                                                      # select the response feature\n",
    "X = my_data_trans.iloc[:,[ix1,ix2]]                         # use transformed predictor features\n",
    "X_orig = my_data.iloc[:,[ix1,ix2]]                          # include nonstransformed predictor features for pipeline\n",
    "y = pd.DataFrame(data = my_data.iloc[:,iy])                 # use original response features\n",
    "print('Predictor features are ' + str(features[[ix1,ix2]]) + ', and the response feature is ' + str(features[iy]) + '.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Optional: Add Random Error to the Response Feature, $y$\n",
    "\n",
    "This dataset is quite well-behaved and error free.\n",
    "\n",
    "* to observe issues of overfit in model training let's add some error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "standardized_error_standard_deviation = 1000.0\n",
    "y_old = y.copy(deep = True)\n",
    "y[features[iy]] = y[features[iy]] + np.random.normal(loc = 0, scale = standardized_error_standard_deviation, size = y.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Date Univariate Distributions\n",
    "\n",
    "Let's first check the univariate statistics of the 2 predictor features, $X_1$ and $X_2$ and the 1 response feature, $y$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(131)\n",
    "plt.hist(X[features[ix1]], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20,density=True)\n",
    "plt.xlabel(str(features[ix1]) + ' (' + str(units[ix1]) + ') '); plt.ylabel('Frequency')\n",
    "\n",
    "plt.subplot(132)\n",
    "plt.hist(X[features[ix2]], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20,density=True)\n",
    "plt.xlabel(str(features[ix2]) + ' (' + str(units[ix2]) + ') '); plt.ylabel('Frequency')\n",
    "\n",
    "plt.subplot(133)\n",
    "plt.hist(y[features[iy]], alpha = 0.2, color = 'red', edgecolor = 'black', bins=20,density=True,label = 'With Error')\n",
    "plt.hist(y_old[features[iy]], alpha = 0.2, color = 'yellow', edgecolor = 'black', bins=20,density=True,label = 'Original')\n",
    "plt.xlabel(str(features[iy]) + ' (' + str(units[iy]) + ') '); plt.ylabel('Frequency')\n",
    "plt.legend(loc = 'upper right')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bivariate Distributions \n",
    "\n",
    "The distributions are well behaved, we cannot observe obvious gaps nor truncations.  Let's look at a scatter plot of $X_1$ vs. $X_2$ with points colored by $y$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(121)\n",
    "im = plt.scatter(X[features[ix1]],X[features[ix2]],s=None, c=y[features[iy]], marker=None, cmap=None, norm=None, vmin=vmin[iy], vmax=vmax[iy], alpha=0.8, linewidths=0.3, edgecolors=\"black\")\n",
    "plt.title('Training ' + str(features[iy]) + ' vs. ' + str(features[ix1]) + ' and ' + str(features[ix2]))\n",
    "plt.xlabel(str(features[ix1]) + ' (' + str(units[ix1]) + ') '); plt.ylabel(str(features[ix2]) + ' (' + str(units[ix2]) + ') ')\n",
    "plt.xlim(vmin_trans[ix1],vmax_trans[ix1]); plt.ylim(vmin_trans[ix2],vmax_trans[ix2])\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(str(features[iy]) + ' (' + str(units[iy]) + ')', rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplot(122)\n",
    "im = plt.scatter(X[features[ix1]],X[features[ix2]],s=None, c=y_old[features[iy]], marker=None, cmap=None, norm=None, vmin=vmin[iy], vmax=vmax[iy], alpha=0.8, linewidths=0.3, edgecolors=\"black\")\n",
    "plt.title('Original Training ' + str(features[iy]) + ' vs. ' + str(features[ix1]) + ' and ' + str(features[ix2]))\n",
    "plt.xlabel(str(features[ix1]) + ' (' + str(units[ix1]) + ') '); plt.ylabel(str(features[ix2]) + ' (' + str(units[ix2]) + ') ')\n",
    "plt.xlim(vmin_trans[ix1],vmax_trans[ix1]); plt.ylim(vmin_trans[ix2],vmax_trans[ix2])\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(str(features[iy]) + ' (' + str(units[iy]) + ')', rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This problem looks complicated and could not be modeled with simple linear regression.  It appears there is a sweet spot for Brittleness and increasing Porosity is always beneficial for Production.\n",
    "\n",
    "#### Instantiate, Tune and then Predict with $k$ Nearest Neighbour\n",
    "\n",
    "Let's instantiate, fit and predict with a $k$ nearest neighbour model.\n",
    "\n",
    "* loop over the hyperparameter, $k = k_{min}, \\ldots, k_{max}$ \n",
    "\n",
    "    * apply k-fold cross validation\n",
    "    * calculate the average error over the k-folds\n",
    "    \n",
    "* plot the error vs. the k hyperparameter\n",
    "\n",
    "* select the minimum error k in k-fold cross validation\n",
    "\n",
    "* rebuild the model, training with all data and the tuned k hyperparameter\n",
    "\n",
    "Recal that k hyperparameter:\n",
    "\n",
    "* **k** - number of nearest training data to use for the estimate\n",
    "* **low k** - high model complexity / flexibility\n",
    "* **high k** - low model complexity / flexibility\n",
    "\n",
    "To adjust the range of considered k hyperparameter, change this line of code below:\n",
    "\n",
    "```python\n",
    "k_min = 2                                                   # hyperparameter range to explore\n",
    "k_max = 500\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "folds = 4                                                   # number of folds for k-fold cross validation\n",
    "k_min = 1                                                   # hyperparameter range to explore\n",
    "k_max = 200\n",
    "#k_max = int(len(my_data)*(folds-1)/(folds))                # use this to select the maximum k possible\n",
    "np.random.seed(seed = seed)\n",
    "\n",
    "k_mat = []                                                  # declare lists for k and score\n",
    "score_mat = []\n",
    "for k in range(k_min,k_max):                                # loop over k hyperparameter\n",
    "    neigh_dist = KNeighborsRegressor(weights = 'distance',metric='euclidean',n_neighbors=k, p = 2) # instantiate the model\n",
    "    scores = cross_val_score(estimator=neigh_dist, X=X.values,y=y.values, \n",
    "              cv=KFold(n_splits=folds,shuffle=False), \n",
    "              n_jobs=4,scoring = \"neg_mean_squared_error\") \n",
    "    k_mat.append(k); score_mat.append(abs(np.average(scores))) # store k and average fold error   \n",
    "\n",
    "min_error, index_tuned = min((error, index) for (index, error) in enumerate(score_mat)) # find the best k \n",
    "k_tuned = k_mat[index_tuned]\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_tuned_model(k_tuned,k_mat,score_mat)              # visualize the error vs. k \n",
    "\n",
    "neigh_dist_tuned = KNeighborsRegressor(weights = 'distance', n_neighbors=k_tuned, p = 2) # refit tuned model\n",
    "neigh_dist_tuned.fit(X.values,y.values) \n",
    "\n",
    "plt.subplot(122)                                            # visualize the tuned model\n",
    "visualize_model_wrap(neigh_dist_tuned,ix1,ix2,iy,'Tuned k Nearest Neighbours Prediction Model',trans=True)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Same Complete Workflow with Pipelines\n",
    "\n",
    "Let's repeat the above workflow with a pipline from scikit-learn. Here some general comments:\n",
    "\n",
    "* **pipeline workflow steps** - list of steps, custom labels and the associated scikit-learn classes\n",
    "* **choices and hyperparameters** - as a dictionary with combined step custom labels and hyperparameter names\n",
    "* **workflow scenarios** - we can specify lists of choices and hyperparameters\n",
    "* **consistent iteration** - the entire workflow is repeated for the full combinatorial\n",
    "* **best model selected** - best combination of model hyperparameters and choices are refit with all data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pm27995\\Anaconda3\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but StandardScaler was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipe = Pipeline([                                           # the machine learning workflow as a pipeline object\n",
    "    ('scaler', StandardScaler()),\n",
    "    ('knear', KNeighborsRegressor())\n",
    "])\n",
    "\n",
    "params = {                                                  # the machine learning workflow method's parameters\n",
    "    'scaler': [StandardScaler()],\n",
    "    'knear__n_neighbors': np.arange(k_min,k_max+1,1,dtype = int),\n",
    "    'knear__metric': ['euclidean'],\n",
    "    'knear__p': [2],\n",
    "    'knear__weights': ['distance']\n",
    "}\n",
    "\n",
    "grid_cv_tuned = GridSearchCV(pipe, params, scoring = 'neg_mean_squared_error', # grid search cross validation \n",
    "                             cv=KFold(n_splits=folds,shuffle=False),\n",
    "                             refit = True)\n",
    "grid_cv_tuned.fit(X_orig,y)                                 # fit model with tuned hyperparameters\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_tuned_model(grid_cv_tuned.best_params_['knear__n_neighbors'], # visualize the error vs. k \n",
    "                      grid_cv_tuned.cv_results_['param_knear__n_neighbors'],\n",
    "                      abs(grid_cv_tuned.cv_results_['mean_test_score']))              \n",
    "\n",
    "plt.subplot(122)                                            # visualize the tuned model\n",
    "visualize_model_wrap(grid_cv_tuned,ix1,ix2,iy,'Tuned k Nearest Neighbours Prediction Model',trans=False)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2);\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Discussion\n",
    "\n",
    "Let's compare and contrast the without pipeline and with pipeline workflows.\n",
    "\n",
    "* **Code Readability** - **With Pipeline**, this is a great advantage for the pipeline workflow. The list of machine learning steps are included in the pipe isntantiation and then the model choices and hyperparameters are listed.\n",
    "\n",
    "* **Book Keeping** - **With Pipeline**, the pipeline workflow makes this effortless. \n",
    "    * *.Fit()* operator conducts cross validation runs over all hyperparameters after the data transformation(s)and then the best model is refit with all the data. \n",
    "    * *.Predict()* operator encapsulates the data transformations and prediction with the best, refit model.\n",
    "    * *best_params_* stores the best model hyperparameters and choices.\n",
    "    \n",
    "* **Experimentation** - **With Pipeline**, the pipeline workflow make this extremely compact. You can run any variety of model scenarios and select the best model.\n",
    "\n",
    "* **Control** - **Without Pipeline**, there is a lot of flexibility with the current pipeline class, but you may be challenged for highly custom workflows and methods ot use the pipeline workflow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retrieve the Tuned Model Hyperparameters\n",
    "\n",
    "We can access the best model hyperparameters and choices as the best_params_. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best model hyperparameters:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'knear__metric': 'euclidean',\n",
       " 'knear__n_neighbors': 25,\n",
       " 'knear__p': 2,\n",
       " 'knear__weights': 'distance',\n",
       " 'scaler': StandardScaler()}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('The best model hyperparameters:')\n",
    "grid_cv_tuned.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### More Complicate Model Tuning with Pipelines\n",
    "\n",
    "Let's expand the with pipeline workflow and demonstrate more experimentation.\n",
    "\n",
    "* Let's iterate over more model hyperparameters and choices by including uniform and distance weighting\n",
    "* We find the best combination of hyperparameters to minimize error in k-fold cross validation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "params = {                                                  # the machine learning workflow method's parameters\n",
    "    'scaler': [StandardScaler()],\n",
    "    'knear__n_neighbors': np.arange(k_min,k_max+1,1,dtype = int),\n",
    "    'knear__metric': ['euclidean'],\n",
    "    'knear__p': [2],\n",
    "    'knear__weights': ['uniform','distance']\n",
    "}\n",
    "\n",
    "grid_cv_tuned = GridSearchCV(pipe, params, scoring = 'neg_mean_squared_error', # grid search cross validation \n",
    "                             cv=KFold(n_splits=folds,shuffle=False),\n",
    "                             refit = True)\n",
    "grid_cv_tuned.fit(X_orig,y)                                 # fit model with tuned hyperparameters\n",
    "\n",
    "plt.subplot(111)\n",
    "visualize_tuned_model2(grid_cv_tuned.best_params_['knear__n_neighbors'], # visualize the error vs. k \n",
    "                      grid_cv_tuned.cv_results_['param_knear__n_neighbors'],\n",
    "                      abs(grid_cv_tuned.cv_results_['mean_test_score'])) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retrieve the Tuned Model Hyperparameters\n",
    "\n",
    "We can access the best model hyperparameters and choices as the best_params_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best model hyperparameters:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'knear__metric': 'euclidean',\n",
       " 'knear__n_neighbors': 15,\n",
       " 'knear__p': 2,\n",
       " 'knear__weights': 'uniform',\n",
       " 'scaler': StandardScaler()}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('The best model hyperparameters:')\n",
    "grid_cv_tuned.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### One More Time\n",
    "\n",
    "Now let's switch to a decision tree model and find the best fit hyperparameters.\n",
    "\n",
    "* we can use a variety of hyperparameters\n",
    "\n",
    "* we will do full combinatorial, grid search again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yjvge6+OZL9GcmFSimM5ZlcrsVPtJuUm6LZuzVW9Oe9WPcNLnKuVKyG3JDf5rwOyqXN8CHlDVB4EjwM8BiMhW4IvAtsY+/4+ImCJiAv8R+DSwFfiLjW0B/g3w71V1PTAC/NStDMnNkgrruxxl/qyasSbr2HPaF71HKfcizZbJheE61TCabOuv+UgtwkiFdcrVMG7xcw1U9WVgeFbbN1X1ciHaN4EVjf//APAlVfVU9SRwDHis8TmmqidU1Qe+BPyAJOs7LwC/39j/14Ev3ND1LxDpmvVdzhrH4ZTnsYYp7TpQpcU0ORTW2WJP5eQeiAKajKR8pK8xhz0P1xDW2276wk25Jo/aLu+eGQXXgFjJBLDdTZ3LUq7BrdetbxeRd6f9/Suq+is3sP9PAl9u/H85ifC+zLlGG8DZWe2PA23A6DTBP33720oqrO9yWk2LgWzIoXqV7thhTCLKdsgzuQJ9UcDuoIoJREBODDY7GU74HherEWvjDAHKq2aVrXl3USphpdw7GCLscBuTQgNI5XTK7WFIVR+5mR1F5B8CIfDfF7ZLt5/07bwEiVWTzD/Xqe1udjMEjtIXBqwyLJrN5C3aazn0WjN9ISJVLlQjtmgOBGzggTjPwWqF9lL6ONxNTMQRQwR0YpNvWExSUpYUdzB0S0R+HPgc8KJOrQmeB3qnbbai0cYV2i8BzSJiNbTr6dvfVtK38xJiJAo5WPWQUFABw1YezeWuK9TKFmGVfW0nxZOBT2/szlnotiKDQDV1QrsLUFX2apUCJp3YXCDAiz22Gbk73bWUlBncqXSjIvIp4O8Cz6tqddpXfwL8toj8O2AZsAF4u9HVDSKyhkQYfxH4UVVVEfke8EMk69g/Bvzx7buSKVJhvURQVfZU6myPCo0GCD3lXanyeC6/YOfJGQYTxBSYqYnFoqS62d3BMa2zhgz5xh1bi8koIadjj1VGaptOWUIIyCK7MYvI7wAfIVnbPgf8PIn3twt8q2GhfFNVf0ZV94vI7wIHSMzjf0NVo8Zx/ibwDcAEflVV9zdO8feAL4nIvwQ+AP7r4l7R/KTCeolwKvTpDTMzNF5LhNAXNLtwSSeWWTYvW2XaQ2vymKEq4ugddTIrRxGnQp8O06IrzbR2VQJ0UlBfphmLfvw71KOUlDuHqv7FeZqvKFBV9V8B/2qe9q8CX52n/QSJt/gdJRXWSwRflcI8cQqLMSndmc+yp1aFUFDAduHR7J0zoX5QqxLXDXo1w6AEHLXLPJm/9UxrsSqHA496FLPBcSmY94bt4Erhd2lqkpSlSJrBbGFIhfUSYa3t8rZRSxy/pqHmwqdyLJgmTxUWzrR+K5wNfbJ1i04cEOjBocO32W3U2JW7+QnEcBSyr+yxLsrSgXCwXqeQFTa7LqcCn9Eootd27koP+CZMBgnoYMoC0YdPW/pzTlmK3HroVgppUpQlgy1CT87koFSpasSwhuw1y2zLzU3xeC8x4IeJoJ6GJcK03Bs3xeGqxwNxnqwYGCKsI8tYLeabExNo2WRVPceFiYi3q9VrH2yJ0Wu4TBCxnyrHqbGfKgEx3cYdyYKYkpJyG0in4kuItY7LSls5HnhkxeA5K39fFEhQXXjrgUZzj9cdOYQRNJvJY78cl0v1gJOWx5pplaNUlQtRAECPaS/Je7DeyKCqBCg2siT7mJKCSPJJuWVSzXqJYYmwycmw0nbuixfwetflhNRntI1oSLNzi4/mPENX1oiCzFy3bhOb4Wlq/FAY8upElfK4UB4XXpmoMhSGsw+1JBARHDHui+ck5e5FzFv7pCSkmnXKHaXJNOkqmByuVSECNaDJFba52WvvfBUyDlRrEbnGr11VOWTU+Kg0zdguVp0x8T9U9dgW5SeFfXtkc6Ba4Zk0YUxKyk2RTiYXhvQNlHLHWWk7rLSdBTWHP5zJ8gE1vEY0k5rKFstlqBbOcMw6atTY3jCBj8QhTaE1RysvRRajcUizkf5cUlJS7gzp2ydlybCQM3AR4aFMloNWHUWJEJaZNoMSctgLkjgnA1Zn7MmQLhNhnqVuQhRz3tpmt5dYlToxGYy08ErK3YEAZrrauhCkwjplXlSVS3FIVoy7Mu+0qvJ2UOHRTA5XjMQMHtRpsiw2uvN72JcMkwmrjgZT/gKqStWOKBp31iv/hNbxjJiCGJQ1xo6F9XJrSwUpKYtNUuPgTvfi3iAV1ilz6DdCwuU2G5e3MVYLOHR6gnUj5l2VN/xU5POAm8Ft5DoUEbY4Wd6rV+kyr5wh7eFcht3VKk5ooEBgx+y4wfC586FPnxeCQK9j032LGdkuqE/JMuiWqX4MGgHnQo8VkqYXTVnCCIh597w3ljKpsE6ZQaCKrHH59Ib2pKE5y4NdRf7ojfNsmrh70oCWNWL9PHmyrWu8NwqmyTPFPL4mecKcG0xsvK9ew6iZrCNJ6HLe8xjN1dl8BW3+ehiRkAdlZoKYDrHpl7svRjwlJeXmSIX1PUQ5ijjie2gMWctgs+Pe8NrmScvnc2s7Z7RZhtDckYGJW8xUchvJiclYHNE0y4QfXmdOzhsV0pBMdMp1ZeO0JC/LcTlUqxLfQu71K2VrFOGO5hjt9wL2jfjEARg2PNDi0O3ePRO6lNtBGme9UKQr//cIQ2HIngmPlbUsa/wcpYrNq5UKU2Vcr5MrbK53WebptabDPq9GMO36Dwd1uhbRo3swCmiN5wqrYmwypjc/0cnGJiM6M9Z7XCOc+M79fC8FAR/0Baws51jt5VhZzvFBX8ClILhjfUpZgjTM4LfySUlIhfU9wrG6z2bNTWpvOTFZ4Wc4GdxYJaY1kcPLJ4ZntIWxMjbgLVhfbwciwiN2nv31GrvrVd6rV2lWkx5z8VJytpgWYzI3gUrViOckY7kRVonLucjnaFxjXCOOxXVORR5r5c45ve0Z8Vkbzjz/2jDDnpG08lfKTETklj4pCakZ/B5B5lHcmsXiVHRjL09bBE56fNW7yIYVRcaqASfPlFk3MTf+eKljibDduX3VxLJigKtU6hH5hnAe1wg7o7fsnLeFHPUoZoiATuzJZC93Co3mhtqJCLdgQLgtjEURx3wf4zvfYPPzL2LdhYVcUu5P0if1HkEN5tROrGpE9iYq3nTHFnpW6TszQgaDzcbdJ6inMx5HXCKkC5vcIlcAeiSbZZ9Z50KgqELRMdjpLsyEISMGK1ga3t+uC2FZsaYJ7FAVd2l0b172e3XsjMlTrSXqX/9t3vr2n9L7v/zvdK5cfae7ds8igJGWyFwQUjP4PcLyjMVZpkzVsSpHrRqbnJt7e4oIrYa16MJtMVFVDrge1lqbx3e04K8yOWItrjlfRNjuZnmskOPxYo6tt+AFvpR5rDnHkUyFWsNrvqYxRzIVHmu+c3XRr0Y1jsExeagpjyFC1rL4CDXO/t5v3umu3fOkZvCF4b7SrCNVIvSmPH2XOr22g1HwOepVMRQw4als7ooeyKdCj1GNMIFAYYudScy4d5CxOOJU6GGKsMFyJ2Okb5ajpscLm9oo2InJ+JHOIudyDkcPTdAraTnJW8E2hM+vKLB7vEa/rxQc4fOlAuYSfbke8Twe6SrNac+eP3X7O3M/IamT2EJxXwjrWJV3alU0EEwVAjNmXdah6xaTVSw1ltsOy+1rC6EToUfOEHZaiRYUq/KGV+FxO3/H0lgeDuqYBuxws0TAHr9Gl2HTc5UEJrM5E/j01UMkBkwo9ViTgvoyKwou+3ITUFvY/t+PmCLsalqamvRsSmIwHIR0zQotCzJ3R/9TUu4LYf1+rcZqLzulqUWwr1qhrWjNWHO7XxjXiPXW1EvKEOFBJ8uJwGO9ffvMtuUo4njgkzGEgJgtdtInC9jp5njPq163sD4X+IyWlY2NZCTESYKSWOfGN8fxwoahnYt8JszECzwfmaw0l/DC7X3KGtfh1ZEKH+9qmjStTgQh8eNP3OGe3fukeewXhvtCWIchc0yqG6Ish/36LZdivBuZz4+4aJgc19sXnrW/XqNagzWaYVADBuyAih2Tn5b03xEhUr0u0+o5L5wS1A2ahw1OVjzWFaYmIPuHK7TUjAXz1jga1+htNnm44UTW5wccHq2xybj/nquljIiw087w0sUxMrZJmGmBxx5lxxd++E537Z5GBO7BVcc7wn0hrOfL52Eh153N6l5jbiRwks/6ajmzF5KxKKJeE9aRAYE2LFoCkz21Gk8W8lP9VL1umWrMcy9XhC7fPnCJMz05SlmL0XKADMesNBZmvTpSxcgove7U8ZY5Nn3ZEL8e35O+EXczedPgCTOZVAU//2/vcG/uH1Jv8IXhvnibqKXEszJ5HTPqbFrKcSaLSK/h8K5XIWqMyWAUcD4MbpuwPu57rNapsbfEIBCIpyW/KscRotdfNlNM5tzjskYsD22WXzTInIoYOedzbjTkjdEqr09UuBDeWratMY3ocubOd5dnLIbjJR5wnJKScldxX2jWO7JZ3tUKbaFDUU3OGh6dGZPMfar5tJsWBcNgn1dDgWbD4hEnf839rkWoSohec1wdQ/BR3GnB2zkxGNaQD7ykOIWFsN2+flPytkyGt4IKG6McWTEY1ZBzTp1nnMRp7mi9TnPNZeXlZCIhHCxXaW0yb9rrvCgmZwOfNZmZmnqfF9I1TxGRlJT7EblP37MLzX0hrLOGwbOFAgNhQFlDHrOy96Vj2XQyYixYdq9IlXeqibe9pYJvxay/irf9ZifD6/UqD8RTE4SKxvRmHR68AQE9nZxh8Fwpz2G/zsVYaTZNnrXzk5p52VeWzcr6tSHOctCrsyNzc+e0RfBrwsVMSJed/JQuhSGVquLexfHpKSkLhYhgpKFbC8KiCmsR+dvA/0yyarwX+AmgB/gS0Aa8B/xPqnpbEgp3Wjad194s5QZ5v1ZjrZebmgCFsL9Sob1kzescZomwNe9yqFZBIkEFsk4StnUrmCJsvdIx5lnTNoHoFj3DNxtZTg57HLZ8BLBCgy1mGg6UknKZdMl6YVg0YS0iy4GfBbaqak1Efhf4IvAZ4N+r6pdE5JeBnwJ+abH6kbL4hD5zLBXroixHAo8tzvyhYO2WRXtxcQ07sSrHQ486MRUzIo5mhnGdE59Vzq07m60x3anJwJ1N2Z2SknKPsti2OgvIiogF5IALwAvA7ze+/3XgC4vch/uWShxRuR2OTvPMnC2EcIHjmW+Emsa8HVbozdjszOXYWLB5yRjlkgZEqhynhmRj2tNCDikpi4eQqNa38kkBFlGzVtXzIvJvgTMk+aK+SWL2HlWdLM57Dlg+3/4i8tPATwN0LmIN4nuRsShib7VOLkzUvKpVZ3suQ5O5OGqfmjpHaz1u1Nh1E3mxVZXzUUBdlTWWc9PpKw+HdZ7OTmVkW2tnKLSaHKv61AjZYjsUFmk8zoY+o2HEete94ylcU1LuNGlSlIVh0d4kItIC/ACwBlgG5IFPXe/+qvorqvqIqj7SZKS2xRthT6XOliDHajKsJsOWIMfeSn3Rzrcjl+WAXeECPmMackiqdOXMG44zHosiXqtUCGtCwbN4p1LjlJ8kaolVqcTRnPCsK2EZc18SnaZNxhQezGQXRVBX45jvj5epjwtd1Qx7xzz21xdv3FNSUu4fFlNl/RhwUlUHAUTkD4CngWYRsRra9Qrg/CL24b5jPI4oRtaM+GQRoRBZjMcRpUWY+OQMg+eKibd9VSMet7I3pREfrNd5iDzSMH09QI79fpUaNWqqFMSgrDFZEbY4V3dGi+aR6eF1CvqbZU+txrZwSptfr1lO1uqM2dGiWTVSUpYyaYnMhWMxbXRngCdEJCeJ5HgROAB8D/ihxjY/BvzxIvbhviNi/qxfSbnrxRVWnZbNatu9KUGtqhg6tyReLjYwFXbYOdZbGXbYOVrE4mRw9dSoTZj0hTODDHZ7VTZYi5j7PJQ52vwqdTnRsA6oKr7G6CJPGlJSlgwCYsgtfVISFnPN+i0R+X3gfZIMlx8AvwJ8BfiSiPzLRtt/Xaw+3I+0GBb7TI8V0cykHONmSPMST9ShyhxntREJedSaGQrVadp8GFSveqzVlsuJwOPdoIolEMSwwnAXNRGOzvNeCVEsEY6HHmUisoZQi5VQDFbpvVnrOiVlOmnKgYVhUT23VPXngZ+f1XwCeGwxz3u/sy3vsr9SoTVMkpIMWwHb8ktbUIsIYilBpNjTtNNRCXHn0dSvZ7691pp2zbfBCp1zhEo1Ij8t+cpRo8Zqy8a0lM321KTjrAT0jXosY2nfl5SUlKVB6mZ9D1I0TNpyBhOxhyg85RRu2qv6ZohU2evVCUIFgeWuzbLrqB2+K5Pj3XoVIxIEIZSYlbbNpTiibVpEwHgcERDzVqWKRKAGrMrYdN/h+uQPuhk+0BpnvcZkwoRNWYd+AnbZM60DPZbNKacKtyUdUErKnUEQJFWtF4RUWN9j1DVmb1zliWIOV7LU4pi3KhUeNvIzNNbF5LVKhc1BbtIb/Fzg4ec8VjtX1yJNER7P5olV0cbfAB/6VQajgG7T5mIcMhYHhDWDrZdLYkZwIqxhFWRO3LSvMRWNaRITQ4RAlQNRDceCWIFI2GpmiEnqfBfEvOlxEhF2ZnMwy/ft4hUKhqSrcTdGOYoY8EOWu3aazvVuQa6/GE/K1UmF9T3G4ajOs8Upj+SsYfBUIceHE3W2WYtfY/lM6LMsdGeEba3A5ZBXZfV1Jgub7aT1kJOjpjEXw4Be06YSxqzXLBGKR4wA3erwRnWCzxWbEBFUld1BDdcQSobJ6dCnJCYjEvBUKT+Zca0SR3xnbJwu06bNsjgR1hmMQlbZDl6krDUyt+xBn8fkUhTSZk793MpxhATpS+x6UFW+N1QlGDdoji0Om3VamuGJ1jSt691A6g2+MKTC+h7Dnie+2BED5PZ4IF8KQtYwz0s0vrXjZsVgte1OHsuQpPhHXgykoaO2Gzb7ghrbnRwHwjqbHZd8Q9CutBze8Sr0ZKwZqVFdw6DdNXnIzBIAy22bShzTHwXsyLi8Xq2wQ/O3tIyw1nL50KsyaIX0WjZ9YcjZ8ZDNcS5Vr6+D98ZqtIy6iS+AQEtsMXgp4HjGY10uXfNPuT9IbUn3GME8QjFWnTfueDHosi0uzrcQu4BPmmMJE3FEdpqgjlVxLCFunCdEJwX1ZdoMk9KseOdAlWbLJECJJXFuazZNanGMiPBwNsex6NYTmzxk5+hWmzP1gFa12BLmU/PgdTJS1RlOewAdYnOmHF5hj5SlhBi39klJSIfiHqPXcPiwVpvR9m61xrrbFLa1zHIYtHyqOpWT/CR1lmcWzoizzc3wrlmm3jiHpzF77ArbsxmuVo1vhelwyJsleAXKoeKKMUPJvSxHc4aBv0Dx6XnDZL1962b1y0zEEQfiKgfiKhO3Iwf8HeJKc5p0qrP0EUnM4LfySUlIzeD3GK2GRRwqb05UsQ3wY1gpzhwtczF5Kp/noF/nfMMbfI3jzHD8ilTZXasRRkmxqlbHYOMN5BE3RfhEscBbfoU2bBxT+EgmWYf2YwUTDE2KeUzPzX0m8jFjgwP1Oltclwj4oFrDiIDLDmckQtBpiIIzgU+XXNvLXFU5GfmU44jVlrsomeKmczr28InZ1PBmO0Gd4dhg1RKPpb8ZOgoGo5WQ5mmvqz7xWF+6s97/KdfD3ERHKTdHKqzvQdpNm3ZsTvgeE37EMXzydsAWJ3NbfjiGCNvcLFcKIX6jUmGjP+XkNRIG7Nca2zLX7wBXNC16LRcxlE12hqrG7PNqbDATob/NzvKBV6VoGrQYFhfCgCwGD9t5xoOIt70agrDJzHJaPXbXq3RaNnu8KqYBj2fynAl8LnghD1lXd2SqxBF7ghrb7CxrTIfjoceZyOcBe3Ec+mJVxonYNs03YB1Z9lMlVr3nCic8VMzyRlDl6JhPJjKp2xHLWwxWZG69vGlKyt1CKqzvUfbVa7g1i/UNiVnxI96JajyWu7MetBfDgJbAmeHk1YLNIS+AG0zotcnOUIkjPqzXyIrBLmvKC94QYZeTpxrHjMcR26blKy8ZJg8YU+OwycoSqHIpDNksWc5GPu9VanSKfU1BDXA49HjCmVqDXm9nOBl6DEUh7ebC/8RGiWib56fbjsUIIW3cexrnk605whalEscUDfeem5Dcy6Sm7IUhFdb3ILEqE3Vl2bSXtgIX/YB3rAorTJsec65WUokjLkQBHabNYlU6GwhDujQzZ8FR4sSUfKOaf94wedC5skDNGQa563DNsEXoNpPx2mzcmEZsMTeWdLXpsCeoLYqwzmMwxNzY7TIRvfdwRjRLJC2IcpchjdzgKbdOKqzvQeqqODoloC7gE+ciPuWWMEwYiAL2BbUZZto9fpWMadBr2/RHIUf9Orvs3IKbzVfZDsfEY/VsNdq8e5MnzBeVFqBzkquMRxGH6h5EUI2hE5tO48a1YFcM6hrjEeM2JiIeMVXiRc19npJyM6TCemFIhfU9SEYEz4gnpUjZCXk8k0te7mKwwnKYiGtU4oi8YXI69Fhu23Q0NMt1hkmPaXMgqLOtIdDHoogTgYcAm9zMDMetG6FkmpDxGKwFdIiNqnJC6izPLp1HMVKlojEWiUXiWs55WTEYiUNapqVE3RPUeGhailFPYz4o13kgSiZAIYmXPDE3JbAfkByHtDbppy7AdkmThKSk3KssnTdkyoJhiNCaMbhQ9elSm4yZxB1jTFmf19ouxzyPzUaW0ThizaxUoDnDIGqIgkN+nXod1kmWGNgb1OjOWKy0b87BZ2c2xxnL50SjctZG110y5s099Roj9YixOKLFsHAMITKVzRmX1iuYtDfZGQ4GNU6HPgbJWK8x3Rma9cF6nS3RTEvFGjIcoErnTawxGyJsvQuE81gUMRRFLLcsMmmK0PsPWfw1axH5VeBzwICqPtBoawW+DKwGTgE/rKojjXLNvwh8BqgCP66q7zf2+THgHzUO+y9V9dcb7buAXyNJJPxV4G/pHahzm/567lE2uxlainDSrTEiEWJAbpo2PBCFtBtXn6spSdKQCS9mnZF4kpsibJEc5735811fLytth0dyOR7J5ZaMoD7qexTqNrEKz5klHjTyrCPDZs1ysOZdtQ71FjvLDifHg06OnU5+RmpRgChmhlPdZe7VH2CsyrtGQH19iS1PLKN/RZb986yzp9zbCEmN91v5XAe/BnxqVtvfB76jqhuA7zT+Bvg0sKHx+Wngl2BSuP888DhJVcifF5GWxj6/BPzVafvNPtdt4V59V6SQJCh5NJ+j07AoT0uaEahyLvBpb5i9e0ybE4E3Y9+BKKAoJudDnx7matA5NanpLeYQXWKM+hEFNZIUpo2XhI1BqEqPOlyMbj5jVs4yZiSKAVCUezWVyT4NeHHXCh5e1kR71uGpNW2s2dzO2SsUNUm5dxFDbulzLVT1ZWB4VvMPAL/e+P+vA1+Y1v4bmvAm0CwiPcAngW+p6rCqjgDfAj7V+K6kqm82tOnfmHas20pqBr8P2GpnORLUOdUw08YKu+z85Pedps2J0OM9r0rOEGqxkkHYbGcZjkL6NaJJZj4qHvFk4pB7CWX+zFgGTC4L3AybHJeXgwrr/Sw5MQlR9lFh4+wSXfcIVskh78y0mKxvy3PMHab3Xp2hpCwW7SLy7rS/f0VVf+Ua+3Sp6oXG//uBrsb/lwNnp213rtF2tfZz87TfdlJhfZ+w0b56EPNay0VVCQHLmPLMbjUtDpp1euKp2OiaxhgWt7VG9u0gbxv4YeJcdpmQGEuEPvF50pxaIw5VMbl+D3ZDhOfyeQ7bHhdDj2ooPCA5BDhCDRVFVFirmXnN5Xcb8TxLBqo6b3vKvc0CmG+HVPWRm91ZVVXkNlUyWkRSYZ1CpMqBuIbd8HPyAthmZLEapSYfzubYX69CLCjg2MIu997RCGNVjoYekRGz25qgEJi8Ho7Tbdg4hsGYhKxzHUSEATvC31akfWWJsTGPkf0jrBu8vvhwQ4QtbgZcGKrDpThgv1XhabuAKUKoyr6gwgNR/q4X2NZ4yEDFozM/5bi4p3+cZT7pW+d+4s7FWV8UkR5VvdAwZQ802s8DvdO2W9FoOw98ZFb7S432FfNsf9tJfzYp7I2rPNGcxW146waqvDpaxfEMxj3FjIXIFLpck3XuvZV0I1LlnbDCI7lskmAln+HNapUVapMTAwtha0OjrmuM/VwHn3ly1eT+Y7t6+Mav7mft6I2dN1blfWOCz9ktk040oSgP2lmOxjU2zVdm9C5is2nzwe5+nI4sLUWXwZEa7iWP9da9l10t5coIYN4ZYf0nwI8Bv9D494+ntf9NEfkSiTPZWEOgfwP4P6c5lX0C+DlVHRaRcRF5AngL+CvA/+92XshlUmF9G5ieDEMNWOFaLL/JsKeFxtOYJteYFNSQZPNqcoTqiMHmy4UhIjhdrTNkhjOKctztHInqPJbLkW1cvyMGz+byvFOtscHKMBAGvFuvYSqM2zFbopi6kZTPNCJoyrnk1xfh3fINnfcEdVbIzLSZFkIgjSpTd73RDrZjEw0E1Pt9OgxBbiKePCXlWojI75Boxe0ico7Eq/sXgN8VkZ8CTgM/3Nj8qyRhW8dIQrd+AqAhlP8F8E5ju3+uqped1v46U6FbX2t8bjt3xVu3GscMhgEdd+Gs3J+VDIMIzgYeFPwlIbBrGlO05q4qlUyTYFbik5XqctKvLXlh3Rf5jJohtglhDPnIZOUVqlFF6KSgvoyIYEmyLr2nVqNZLDJisFIylPbUeKfYzyeeXYUXxdSqIaZ946FnAcp8y7eqSrhIgno8ijCAwm0MlTNFyF+tbmnKPc9iZyZU1b94ha9enGdbBf7GFY7zq8CvztP+LvDArfRxIbgrQrdyYjAcRZwO/DvdlRvmgOfNSYbRi8tZ7+bDgBaSJjG5OE9fjtZ82mfN5URkyWt8I3FIlIl4qinHo4UcT5ZyFHPC+Wj+ZyfWxBQ+m1Dhm5VxenDYTJYWtfiwXqHmBQweGQPANQ2wYPjk+FX7NBSFfOBX2eNXed+vMhZHdOFgxML+cKr2uGrMO2GV1bqwSw2XwpC3ghrnMkp/TngjqFOO7i+XbD+O+dCrs9urU43vrZDDpcxtirO+L1jaKtI01pkZPoyqrJon5vdOE6tyWOq4OcEQKNeUjZGLIwZRrPMnw1jE90WsylAckhfjmqkyRYSm0ObdcpUd+SwCfFitU6srAYo7LZDpkga0O0vjkalEMcejOhkxWG9NmZPP4fNMdqbz2xrX4bValeXzPDsbrAyvVSvsyiRrxCJwyvcxY6FXXVaJi4hQxOQxKbB/pIydyTBe8+m/VOWt989ROufDFaw+I3HIxThgpzu1Bv2+X6UNFxWo+8r7YQUMOBf7bI/z5Ba4iMor9Rrdlk08FjMsIfmcxf4g4HFmnseLY/b7XuIQFCkPuBnseyCv89kgYCRv8OSqNgyEd4cmkHdeZ+2jT93prqWkXDdL4817nZhLVKs7aNR4enmRvJkYKmJVvtk3zvYwR94yKNcjCjL1YlRVdJEskWcij3EjYnnGYigKOOzXecjMXTXMaoXpUA8t3h6ugyhrjQxrshne1Cp536JdbfrEw8wqO+3FcXyqxBEVjWk3rGvOpo8EdeqhstHM4mnMm/UKm50MraaFKfOb3a4kcwbDkHBCeKdWx7WgFirjGtDtOKw3MniaxJxDoiVYkdBkC3u+foxWy6J5ICB3FbPyqdCfIagBdthZXjdrbIlzDBNyUX2cyOBFmm85NWMljhgipB2LvGGyr1Jjpdg8MO2+DXshe0WpRjG5xjNbjWM+CD2e7y7hGAZeHPP9i+M8Zrs4N5gmVFU5UPWYiGJsER7M3zmhr6oMuvBCT/Nk2xOdJV766peJdz2BkaZAXVwE0iFeGO6qYVyKhrtIlULBnBTUkITobGzNMBQFbLRdTjk1yo3sVaEq+8wKWzML71Vd05i6FfNYPsdy22FLJsPjxRz7oto1982IwTYryzYzR1YMDBGeyufpLZmUCz5bSg47swsvqCNVDuQ82ODQ+1CB893KWePKWa7qGlOPlC2N+tQ5MXnUKnCskYHNioTBKKQuit+w2fsacyWrb189ZIvk2RTmWF3PsSXMszbKMxaHxCSadk1jVCHQmEE75OOb23mgmMdWGDpTxblKUZP5xLghwuXHpVUstkiOdZK5JZOfqrIvrtJPQCsW/QTsi6uc90M2OjNj7FtNi8iLZ6xo7Pc9XuxqmhTMrmHwka4S+/yZme2uRazKt0cqNIU224wcK9Xle8MVyuGdMT1PxDFdxbm/tY3+OOdOHLsDPbr/EJFb+qQk3DWadV/s07xEckhPJ0LJWHMfqFbbpI+AdhGezec56ngMhh6WITzp5q76gr9Zjkd1duVmmoBtEW7C/2mSVtO6YgGLheCI6/OZbe2TQmJVPsPrzjjV0xG5eabkxwKPDUaGSJWoUYZSECxN4pTrJeGYG7FODHosi6PlGifGfB42CvOef76MqR3YjOFzgCoPSZ5YFE+VkTigCLy0bzBxDhsNWR9dfVkmIhFg0wVxoIpGyd++xvS3RRTbHKqVkEK/0hTf+HifUI9eXIqN6cEaTMYI6fPKeNl4jnZcCyLyhWkRAObc9UHHMJAbdA7bX/V4wMpSaJjyM4bBE26eDytVnm7KX2PvhScjwgV/7kxtRA2Kza23vT/3G0KqWS8Ud4WwrmqMGLDOWnoxvo4YjNYiKM1sPzheZ4WRvMhFJNFuFnu5XWVJ+H/FqhwNPEJVNjqZOXWdp1NotuYIksd7inylb5DN0dz7nUEY1IBOx07qOkcxxEoMHLN8Pr+5A8cwOFupc7hcp6k7R6maxIrPi8GcgtRDGtDj2GQx2O9XkTgJuSu5Bs9YRRi6vOW1b+hmO8PbfoWdTjJBq2vMe16FzihLQMzQZoMffbJ3Mhb1tWOXGHx9gpboxn6aHvGkoL5MExaXQpMBP7FUOA11fiQI6Zg15kGkqM5M7hKrEkbKjRQFq4Qxq2dNqkUEudL4LzKOYTA2XqfeFpNpXH+kyqllG3isvf2O9Ckl5Wa4K4R1zjDotZaeY9llmmoWL1+a4ImWJPPUB+NV4gm9qpBaDNZZLntqNXbmpszVvsYEEbftTl8MA45UfNZEGSyEt2s1evNXKad5g7OLuhMxbkT0xklGsYJlMhQGhBKTyTuTgr83n6E3n5h/z+XrMDH/8XoyFmfLiVYKSdz5RcfjWSvRxK8nTC1Q5aTpY7iCWVNWqzMp9LJisNPOczioE6sy7MQ88lwnXaUM71wY5Qe3LaPJnZKGn3yki29nYp4s3NiSQ3l/TLF/rgmlpzuP2WxxetijU02G4pCoyeLPrV4+QzA/Us/x/lCZx5uT61ZV3hot89TmDko34FRYPKswZsxxqnRLLm3rm2/omhaKT6jy5uB4kk0LIYyVHX/1b9+Rvtx3CKlH9wJxVwjrpU632PgTJq9MlImBVerQbdz+yUVWDPKRxduVKl2OxUQYMRrEPGTevmxYR6s+2+L8ZDWMLZrjYLXKipI974+2PBpSC2PUSMKoAF7tG2VlYM3rUZHNmjzc4vLBUBV8QQTyJaFYNvCDuTZtVcUP5s4IJqKIA/U6hMKoEXIBjzbTwrWEp93rN9dW4oi+TuXjazrImAYjfsi3D13igYozeb22CA/YWc5LwNPPdrJ1VWKGGYsimnMOXhDNSEojlrB3uExPzqE9c33P0bruDCcG6nTGU4L/ohGwsSfLxpYcta6Ys+U6uzI2ze5cVbk947CprcAbIxVMEvP9g52lGxLUAI/0lPjWyBC7pj1zxyOPjZ3zL0PcCrEqbwyOg5GUbvXCiAea87TNuj5ThKc7m2a09d9jmfiWKkIqrBeKVFgvEI4YbL5cQWkRn81KFNMX+XSY9rxr+L2mwwq1GfEilonF2nkSniwW1TgmG83tU1dk0xcFrGhYR2JVjvge1Sgmawr/5YM+dvSU6MjZHBuoUTkXcMmMeTSXQ1U5HnnUNCaPwXA2pDtX5LOrksIjE2GMHQsvVSZorgq7h8rsaJ8SDO8OTNBVMybvSV/sM2ZFHKp4PFMvYTaE5AA+ZkbZcIMv8bP5kD+3rnNSS21xLD6+uY033h9m7Swzud9qsrZ1SohlLIN6mKynXj5rJQg5O1TlOcvlTLnMblFeWNF6zRfelrY84xsjjp+pY9QhzsDaVRk2tiTny5oGG5uS/6sqxyZqKLChmJ3se0fWoSM7/+QgVuU7J0YZvRSgIThFg6fWl+ictX3OMnl6Qwvvn5+AIEZNYcOKPKtLVy8kczO8OTTBro4iOWvqmftW3wgf7WxKBcQS4g7lBr/nSIX1XcQHtSqxL/TEDqcl5IBd54lcbs6LSURolTtxa5VxI8IXRVEkAgeDmsS0NELXAlVeLVdYF2TpFJNxDRmb8PAHQ05JQBsm7ZLhaFSjkonYG9V4OJelZJicC32OBSG1KCJvWUn8s2XwJxdGKU8oE4aSPxbSP1wnmzGp1SIK49Aliaa1z6rx4PICD2dtHvdiXjo3TtdFh6wYdOJwxK+y4QYVrnzOnuOx2uxYaE6SZIbTmP7SCuOY7pzDd48P8vTKVvJOIrhfOTrI44ZNyTIpWVmqUczbA+M80TVTM5yPx5eXeGxZkVoUkzWNOf06XfM4oiGXvJC1scHKjMNL/aNsKGVZkb+6MP3uyVGK54VOo7HdGHxn3wg/tKuDD4fKeGFMS9ZmS3OO9qzDJ9a3XbO/t4oKMwQ1wCNtRQ6OVdnWfPud2VJSFpNUWN8lnAp8Cp5NBzYIrMKk7tvsMevsyCyNClgniiFdJYfsULJm6UdKtR4yYgdsNxMpuK9eY1swVVUqi8HjWuSM+GyRqevIxyZ7wxpPF6a2bbcsPm6U+LP+MdYWXAqWyZ6RGs5Fk61xsu9pv06zKstsA5jSqM+qx67eEt0Zm2ocU7ItPr+6hT+pjrCm3BBANxFd5M3jaRzEMYE392ByKeRC2WOkXKHqh/TkXfIIv/rGCXa1N3F0uMyLVoYmZ8qMmzMN/Or1By2KyBwBBrC37tGxvYNPdhYo2iYnLk5w6v0LfKSzmZcGxq4prEeHAjqMmdt0Vy2+dLCfT7eWyFkWQ5WQr49d4pOr2m6LZjvfOQq2QeUOhYmlzE+qWC8MqVP9XcKlIEwE9TQyYhAsViLpG+S8+jy+ssSnNrQw0B1wzKlzOuuxp6nKI/lpdaAjZjgfWZKsO8+uczxuhuRNmbGtapLXultstpgZBsYCegcydMdT6vAqMpyrz02fWrOhO5OMny1CSOL5XCxOCbZpeWuIp9VeHggD3qlWebdS5cSsuOPCOOwdmlnE4zunR1gTzl0XXhXbfOW1c2gY80R3Ez05h8c6SvzEthXYQcxKw6LJnjt/1lt82cWqBB0Z1i0r4TTenGu7iljLi3hRzPKsw0D96ql85wtx6zM8Pl4qTCZWaXcsdtgue4dvrKjJzeKHcycx710q80Dz3V2x7F5CbjHVaLqcMUWqWd8lLA2RfGXGjZjubOIF/el1U/Grr/SNkbsw7Qc367cnCCZwiQBtCMfT4tGRManqzJexi8FEEKKmYhtCGEJOjWRwph93HsESR4ofJ/HGtggViSEG34/xNeawWeOhbIaaxhwIatiGIMA5L6DLd1nXKFk57IW8m6nySMPjvltsLh6r8ZWBOhnXoFIO6amauFeIo28xTXa05An8CFcEwzTImwa+AetbchwcqrIlN6XBXvQDWnK3VsBm2Avp6W5DmHLiA1jb20T/6XMEsWJfIxjWLgg6MjO0K3SVgjMrXMw2OV6/sUQqN8uDLQW+dX6Eh9sKlGyT94fL5A1jXstCyp0jXbNeGFJhfZew2nE47XusYkqLHCakyVkc44ivMXVVijJ37XM+uiOLAyNVLk74jA5HaJS84EON6GFK+KzNOBwPaqzTKZP3ecvngZzLqUZRizWuQ6tp0R8FHPM91jvJNRsCB2oeVYl4LapwpuaxIjJol1lOUfMMydrY4dX+cV5Y1gxA3jA4VKlyseahuZin3By2CC/74zxZKGLZBrEqYxcrdKg9ORloFYsxL2TcjSg1HPy6sOmarOXhXMPBMNEW3HnGtCfnMlIMeGOsSk4kcarLOjzWVrzaAa9Jk2Ny4FKVzcuaCDWenNycvzjBCsfieLnMttarr/E+v6GZr+8bZnnFJicmpy0Pt2jO0Xwi1dv2cm5xLF7oauLQeI3jYcT25jxZMzUWptybpML6LqHdshjLRhz0q1iREIpScIXtzsKuV8eqHM4GdHW5lDIWpy/VGR3yKOQtLFOoVSI2hO6cONoWw+LPDg2zKyqxzkw0wXJ/yAdaY3vRnRT4baZFUFCO1KtIBGrC6oxNt2XPyTHSbdqcC3zeDqrYBgQx9IhNp5EDD9YaLt93KhT8pISlqnLMqLM6O1cTdcSgddTgW/URslkzCZeqCC+6U9lsRqOQjpxDcz4JM4tUcTAmzfSXBdMydTgf+ZPCevb4wZXDVQoTytGRChtapoTjiBfgNKwBW1sKbGnO48WKayxMukXbMAj6ygysrNFeyiQhfVWf3fsH2Dvh05axeWNwnEiVJsdi+zzOWS2uzRd3dnJguMqYF/LpzjYGaj6Hh2tsyk5Nxt4qV3ly1e3LDCYibGlKzd5LmavVJUi5flJhfRexznVZ6yTVsGwWJ2/uUdfnU9s7JrM9GaawvM1lg5vBEAhi5SvHLvFgba5DUmvNRlQZk2TN2ImFTeQ4GfisdaYsAt2WTXfh+ky7KyyHFZel+CylSUR4Lp/ngF2nHihqwGbXpck0GY8jHBEy08zRLWLR4lngwXyP/jE8VrlTObpNEbDAjCQR1g2VeUACehspWFWVQ4HHeBQxqAFtrkGrZVENlc1Gluwsc3i32AwO1+gve/Q2Zekve1QqPk80T4WbiQiZBa4B/Ugmw77Xz7GnkHjRG2MeH81nOSsmj0zT3M9U6hwer7KpNFcAigjb2qYE+epilkjh7dEaRqzEpvDQsibyqRk6pYGw+PWs7xdSYX2XISI4ixjInW+xJwU1wIgf8kxHkbFqSAbBNoTHVpQ4fqTM8tnmZ5JQrckFdoG8mlyMr1yY40ZQVT6s16iHgCpjxZgNXTk6nSwT5YDSCAQGnF5jsXZlC+VayHuHL2ENB2RtIYohDmGrkZ33BaICoxmd4SDQXrLoG/InM5zVNabihggm71SrXPADmsRkk5nhISvHWd8nb8OOosNrE1V2mlPCbZCQsSIswyaoBNQiYX3GJtdyexJ0PJDLTK3nF3K8PjjOk+0zTewr8xleGxhjU2nu/vOxrpRlXWlpRCOkLEHSqlsLRiqsU2YwW4RZxtzGZTmHDyRm+axtIzOmFkYYIqiCKJw2PHZMSzRyKQ4YzERkHINqPabXtyleZ/3mD7063aFLXkxOZT0++1ArrmOQNxJT9bdODaMlhy88ugJITNL9F8bYbDhkGr5q5Shi71idreZcAbNOHfpLwocTdVYFFgpoSTjnBtQuhNgYZGxhrWlzZCJgdZRhuWZQlA/jKs+aBXrF5UCtyoas0OmalP2IgmFyQQLaNxd4tC2HlTNxTYPvnBpiZf7OZtKav5zoVNvpqscFYizLwK8F7MhnUweulJQ7QCqslxCqyvk4wAS6jbnJNm4HE6MBQRxPegeHMVSCGEdlUmgfGavREZszzNKqCvmYs0Gd1X4GR4WjRo26FZNpxE9fikPiToNPNsyuqsqf9o1SG4zISCJwH3CyM9a4hqKAPg0Q4EjVY1wVAyg7MRNeSMlp1JwW4YneJg7ZU2rx7vOjbMdBnRhqiUpZME3E1jke42cDn34/5NTRgIc2l6jnbCpRRC52WH024qFpZRZfmyizVnPUUfJioAgboyzHQ48N9pT26ooQNNT0sWYhGKsyPljBNg0mXFi9rMDhiRpNtkXRMincSnm0m6DVseiv+XRPy0Lmx1OlM09W62hblheXJWp2rMpX9l7g+WvUR09JmU5qBl8YUmG9RBiMAy5lQraUXGKFg+M1uj2HVuPWb5Gqcibyk7zlpnPV2MV1dYc/2z/E+mV52nI250fqVCsBz3WUAGGwHnDofIUHZiXIOBcHPNOeY0/s877l0VpwWVNq4cTJUWiE3Q5mQj7Z1jy5jw+82NPES+PjbIoy+BrzVr3CU9lk/fZwWKPoGDzm5NhXrbGFHG1qY2MQesqbh8b53E4bwxJAsAyZDP8CqHoh3YZBZZZknr0c/GG9hlMzWUeOtb5y5L06x3sqrG7OYozFbClPeYMfNzzCjEEhsvDjmIofkY0M8mIyEDdilRuTmD4/5CEjEfLDgc9zuSKSEYyGt/QbZ8YZyCjLSzmox4xUfR4p5ll/k2blII5551Iy2KpK6QrOYpfZ3JTjlYExxoKQjcUs52s+B8eqfKSRLe2i6KSghkTj/simTj48MMDDpTRDWMq1Eaae95RbIxXWSwBVZcgN+ei0nNY9HTbfHZygNbi1WzQUhZzBY3PWxUTY61XpjG16zPlzQNsibK04jB+uc1grbDNsKhrz1cFL2JZg1WAb7hzTeH/sM2pYfHxDJx1ZmwMTNbycxQvP9HL0W/2siGxce+ZOIUpODGxbIEo8tnvFpS/0aTMtxGLSMW2krqw1HGoaMxyHnPBqxLHyjdMjfGF9Uurw0FCVIVMZ6vbJ2Sbblzfx7rnzLAtk8kFXVWqBggEjcch4HFGtKb0NJzZB2BRnOXShyqaKgSHm5LVeiHwqywx0NCYaVjKmgZ0xGKuFxFEMopyJ62RzyuvlCj2xA2YSBtcSzdUwukKDS0R8trsZEUFRXu8b5VS5zurCjefS/v7FMZ7vbpqsPHam4vHqwBjPdF45VemznU0M1H3eHJqgO+vw8Z6Wye9sZ66mX3QtgvTdm3K9pFW3Foy7QlhbFrS13bs3vD8I2ZRxmF2NcUXJxoliivOECF0vB8d9nnOnJgFPuwXerlfYVnKuap5qw2Lq8TBYc/n/V1CoCoHJR1e10p5LhN62Uo6DE1WyrVmsXhtnNGY8CBFzKgTKCKEWxWiok9e+wrI54VYpW8p6dcGAQBJt2RThuCY5wzeVHNpsk71DNb7mDNKTdznVX0Ej5Z2hOnHGZNQVRuse1So8mM0yEcfsqdd4vDfHmZLBcidHjwqV02XGRiJ6psWwt+Oy8eNtk1WnDoxVyRLzk6vbqQQhf7p7APeQT3uchJztc+tsX5knUzJZ1ZRlU+tUzvZ6FDP4bh/1WLEMqHsRGisTXsgjvcXJ+yAID7YVeK9//IrCerAecKRcwzINwihmUyFLe8bmbMVjQymLYxh4UYwXxnRYFh9UfL5xcpDnV7bNcBycTmfGoXOe6l7+PJngBssepTTxYUrKbeeuENb3Oo4ItXhujrJI9ZbWBstRREnmCvqVlsM5P6DXXbgynq05O3HIYkrp3pjP8vZghf4oRIKIteLwB33DfLKrhaJlUI1iXjs7wTbNTO50JvJYnXFA4fWJMm22jWMakFNqoxHDVsBf6GyaLCm5zHZ4+eIEOSfAAh7O5TAMCOqKX1GOe8qGbJbdtRoFw+CZfJ79EvJCa/NkLHXLSovXrXGCgaka5FFWJ0OQgjhm3IRnV7RhGkKTa/Mjjy7jN/Us0VDABSPg7z2yOunnPGRMA8lbxH5M1YvJikEMXApDyhfKbG8vYU4zFZpXMBsOewEnPY/ne6e031cvjGEaQn/dZ2drgViV186PEZQjMKCsER8p5Xnt/Agvrpy/uEasSqiKYxj0ewGnLMXN20zU4WuHLvLJTZ0YIozWAt44MsgLpauXu1RVymGUWB5SV+D7nnTNemFIhfUSoNWyeLNWYV12SttVVYa8kPWZm/cWtkQIde4koB7HtFynB/b1EsWKGwt+FGM1XtD1KKYeK53lmK2ZRFPsji2+cXqYnG1Q92PcssnlrozFERNOSIfl8tXRCba6OZYZNhHKu0bES/Yoa22XjGFMrkIbwBPZPL82cokf626jaDeEgwmxlVQqy5sGEsK5asQ5qhRW2TNiqQ0HHu8s8t2BMdaTZZyQ7pWZSaF5fKLOtmUlcpZBJYgoWCa2IWzvLdHaEnI+DK8oqC/z1LpWfvWNM+yyM1ginA18VuRclhk2710c47GeZhQljmLCaGqNfd9wmeFK4m/gWfCZNe0zjvt0d4mXz43yQCnH/rEqZ4dqrCmbFBrLHCdqyntRFcOd279YldeHxjENg0oY0hdEtHblWdZeYOeaVkpZh1cO9POH75ylNePgRspHS4WrvnyPlWsMhhGtOYdyzadej3iq9er7pNy7CJAmlVsYUmG9RNhmZ/j+cJkmx0QVxoKIB28xO1mm4Vw1PfuWqtIfB2yyFzZkyKwrY15A0QDLNXFtk6/3jzI0UufzDW9wL46JVHkqk+PDao0Xi0UG3ICjlRooNGUNnsvlOVz32GIlZRvLfoTG8FAmx0QeasMBMY1kC41zxyh+pBRnvRUMAcMQ3hipkB91WdOwMgzWQkZrAc2NTGfNWZsLscdIc0S/G7CiJ8NjvU2T43V6vMbJqkeza+OL8vCKZrKWyYWyx2g95LnlLVyLfZcqbCxlaBeLQJWPFIuMhRFBGNM/XqfSHlL1Q94bmGBXI0HK985cYmVgsMOxUVW+U63jx4o7zUNOJHGsa3IsBobGiUcj8q6DAtUgpse0OFytk3PmCss3hybY1V5kPIgYcoSPLW8iX3AxUL5x4CIvPLSMZ7d2842BKo81npez5Tonx+r0Fl3WzHKEKwcR46J8ZNWUBj8RhLxzbpTHWm8tZWrK3Us6UVsYUmG9RCiaJo+befw4RgzBzizMA/5YIcu75SpWo3STj7Izv/BJLLbaLgfOl4kyBmLCQDVgQ2TihCB5oRJFWAhZMYk15rwX0ucGLHNsOptnZjMbD2PWGYnAKU5zclpjZvi2VvHjmExDe49Q3q5WyWCwr17j4dxU5q1AlXGNiCYMuqctB0yMRvh1JcpMLTMcrXn8zad755igX784xuPtJcQQmjI2Uax879QwH9nQSVaV51dcO7VmFCsaxNi2SYfRuFaFrGlQjmMu1QPePD+Kaxg801bCNQ0u1jxKntKRSX6iIkJzDLUgwp02KQnieDLF6fKsS9lQhutBkr3NMDANwQ2FujXP8ySQt0w+rNR5cV0XFVVMgViFF3rbeO/UME+t78DOWGiofO3YMIVxZYXpcKG/yp58mc9tap8cw30TVZ5ZNdPUXrQtNFWtUlJumVRYLzGcBV7jcw2Dp0v5a+asXgi22i5EJB/LBgtG4hpDQUjeMLAbqTcP132eyRU4VfdY5sxNO2obgmjigNXkTj2iFWJebC/wa/3DbM9laHFNLoQBa3I2y4oW+2t1QoHlps14HDFCRJNpYkfmDO/11RWXPz0yzOa1OVoci+EwZHNHYY6gVlWiOMmXHasyXg8QEToNk6/sPc/nV8y/BjybWhSTMwxWdeR599w4OzMZDIQgVt4M6vxPW3sQEYI4Zu9wBUOg7Edsn+VT8IDj8kdHB/ni1m4ypkEtjHjp/CjPtSXhVauKGV42qqw3HephRKiKH8M5DfnR3o45/bqs8diNpQOJlaiRwM02hSiMiWIlmPB5fyJk2bgxmQ+927Rpqca8fn6MZ1c0N8YrrV2cMovUG3zBSIX1fcJ81ZH2eXWwkrKJ7Zj02gvncHaZ7ZkMfzgyxkrHpmRaXApCSmLS6licCeavofxALsMroxV2kWNcAwzD4EhQxzcjHsnkuNQRsbdeZ3ndoBjaXKgppqusyNhUNeaM+gz6IbVI+VSuwKu2B9Mcm20RmrDZtaIJRHjYmf9noDA5wTBEKDYcztYWMoRxfN0vobxlMBFHbM/lCJcX+N3Dw9ieMEbExza1IiKcGK9x6lKFHbkskSrfHq2SN23WTSuSkTEMOmLh/QvjxAKmwkfaS0mhjjhmIohwWy1GRiK6HJuwEV+/q7eJ7DxZx/wo0cp9P0I1mdgNT3i0lFzKQURVY/701ZM86bq8cr46WaDlMq5hUC1P3cNNhQy7Byd4uLM04xxhOE/N0pT7AgGuUC025QZJhfV9ytt+lWe7S5PhPMfKdU5MeDMKbiwEIsKOXBYjNMipwUpnyokunpaE249jjtQ9imayzaPFLPuqNYxIiEkEsS/wdqvyQ5tXs/r0OLW9dVxVCmKAD3uDMkOWz043zwNOFs9S3qnUaCsKZ0c9ejW5tn4J6F2Xpcm9ejERQwQ/nito9o9U2N5+dY/o2WOwojnL2yMTnDhV5bmwiIeiAkMnPPYbQn+5zlPFqbi4L3S08BtnB+l1nUlry1k/oLs1y0OzSma+d2mCAOjK2uTyFufiOuONhf0NHQVWXiEM7NHWAt/uG6EjY/NnR/p5fl0neddktOLzx8cH6CxlWOspmZwBjYQzc9Yfp6nSra7N+bEqr54bYWNbnsGKz7mxGk+3Xv9YpaSkzE8qrO9CTtQ9RqIIS4St2cxkuNH1EKrybqVCd7M7I+52fSHDK9WJxegua1yHl7wKj1v5yZf9ucBnxIjY69eJA2WsErPWyFDRiG9LmSeaszw5K0vWtzIeP/1gkpF8qK/OetdhQkJCL8YSYWWYwTdj1jZykdsCT2dz/NHYGAXb4r3Qo2rEfGx9iSfXXtspDBqm5f5RnuwsYYmwZ7iCZcoN58fe2JLn9EiNrprDqCg5Q8iaBjlMPjxbZmfHXIH6SEuB9whwQ0FF6WnNsq1l5pgcGa/RnXfpbeQYX1fM0l/MMFQL2HqN0pE5y+Rj3S2cr3ocCOp8WKliVQXLMvjxJ1ZjmQbf/P4JVgHbe/LsGR1nvTk1mTsX+6ztnHmO7U05gjjm9KUqLY7F+vbrrAiSco8iqRl8gUiF9V2EqvJqucIGx2V11qUex7wxkZhOS9chPI7U65SJWZ1zCKKY7w2O8XRbcVJzsxe4LONlRISnijk+qFQxEIbjiJZOl890dfL+4ARjFR9PYg7Vamwjy8Pk+WCiynMtUxpZOYpY0TpNMESKAnnbZMSLKCKEsdI8LT1rrMqblQo5MSnYBrYIu+I8hwc8nrzOvq8uZenKObw3VCZSZVNzjo7sjS8XjPgBR8Xk6a4chiHU6iGVskdeBCsSKvNo8IHAs8tbrjoxGPICNrfMFJjdWYdjY7Xr7tvynMs6TD66qWtGe9UPsRvd6s65jK/Nc6CvgvqK2MKqriwbmudOCGzDYH3xzlTiUlV2YxCv7QYETvWzM45Sj+Q7SDr0C0MqrO8ijns+G90MHY10XxnD4Ol8nndrVR4vzE0tpqrsJ8BusqkGEaEf8XQ+R6CKmMIaEd4ZKfN0w0EpiBQWqZaEaxg8UcyjquxxQp5a0cIbfSNstW28okWpZOAHMW/0V9ke59BZOS0NEapBNPl3psUmriYOYEEcU0Y5oz7bp8Wlv1OrsiObI1bIYBCp8up4hd5ahiPDVTa2Xl3zvEzWMnmy+8opO8e9gN0XJ0Dhwe4izfOY1w84Fp/+/DZO//ph2sUml7WpGULsBbSuKtJvhhT9kGVZF9tIkrX4uQw9O7rmOWNyb989N8qlsvB2tYaL8HDrlOXC7cjS9ED7vPvOR9fABOeqHqtXTznNvX5kkE/83RexG5OFTuCZ6z7ijWM8/clbPsZL3/uAJ7b10tKY6I2PV3nngxO8+LFHZmzXP3LLp0q5DgQm68Cn3BqpsL4K1Shi93idIADbhh2lDLlbSP15q4xF0Zw1ZRHBvMKP4UM75KMP91ByLF45fYkNtkO1FpIVI6koZZkYDc1p33iVtsiYI6xrcYwjgq/K7nINIogFNuQdOu1EKKkqE3FMRuSa3uzjcczypgwXax5nhqsU3QwZEQ4GAd2uTUfBpDIazck9njMMLl6scHGVR1fe5cVtbfxh+QJmX0yvWJykTmtJOBX6dNk2gSquNExwjaVxU4TerE1cV4arPtqSZdQPyVvmNZOazEcYxXz1+CDesMczxTymIbx3YIiOZXke7Jpp/s10FNi+sYMD2/sw9pVpNSws2+C1sMqmNV2sWtNOseDwzuFBBg8Psrzo8okHZxchneKVk0NsK+XZtrkHiWLKXsQb50d5qqPExVpAa/ONabYPdhb58OI4p8TAAnzT5PEn100K6rsBz/NxLGNSUAOUSjmKOZdKpUZ+EUIWU1JuF6mwvgLVKOK7F6psDvKYjbSU361UeKEnd0cEdqDKwYk6KwwHRwQRKFhGkjKTuVnKqnFM97LCZG5rUwREMG0TDWLyYlALYwbqAS9fGKNXHDoaYVTnPJ8PazVQocU0MQUOVz0+YzVhGgZoUiYzLCmhIYxkobvoMOhHjI7VaQ2FMYkpYbDGnnIou+D7XPQDSoHJh4MTfKpQmBzLVa7DaxMVSrbJaBzhzOMT9bxm+b23z9LVkcO1DSbEpyWn9EvIjqxD0bIYCkLeq1fwY8URoR7HFKbNQJpNk7e1RqdV4HcO9bO+kCFQ8EXZ3Jrj0EAZUWguODzUUZzXfHqk6nGh2aVuu9R7WyjVxxgvR7gZg4eyGd69WOGBzuKMtbqgHgDwwz/yIHsfHeLc0WHUNWm/IHzqY5vIZ5Kx37aqlT1r22i6OIF7BUFZDyPsGFobSV3KcYxrG2AbvDI4TrYpw3ONcKobYXtnkf4ty2guuLQUb7yQyJ1mdLRC2zzObN1dzQwOjJJfkwrr246k4XwLRSqsr8D743W2BPkZaSm3BHneH6/xTMvtLw/4/cEKu6olPpA6z5fyoDARxoxoNGkWn85IGLKyZeqF+/CyJl4e6ucByyHyk1SkqNKMxU5nyhx80vMZDyM6TZuHszkUZTSMWFd0OVzx2GokL7yNZpYPyxW6lmd5oWfKRDzcGvJW3xgfb22mv+7zxlCFh0yXt8ardKtDp+HyZt847ZZBNG2NXIHNGZffGxplk5uZ41wGkDcNPkue2mAMRGw3cjDLf6ndtmi3k/F4faJCwUomJZmGMe7Deg2KysBAhV05l74Jn5oFZROGLk7QosLySMiMhXxrYohPrEvik3f3jzNwqcZ4GLLsxXU8uXUZZgCGqQztrPDhb+2ltx6RsQ161OBcuc7Kaeu2mcEJ+i9V6G7Ls2NrNzu2dvOVbx9kw/LmSUF9mQfXt/O905dYdgWBeaka0Dlt3bzg2sSqrGjNYRcc1rXe+PN5YLzOpdYSG1ubOT1S4c2j53hxew/Oba6xfSt0dDRxYO9xNm2caZE4dWaQJ5958A71KiVds14YUmF9BaJgbmyyIUIU3P6+1OMYagYZw2RZNcP3gypZG0aiiFVNJg/n576cO22b4xcrrGiE7WQtk3Wrm/nm/ousjAxqsVKLlEeyM9dtB4IAA+GhTCJoBCFvGISAGjM1+HIU8+emmXtrsdKWsWnJJcKnO+PwwjKL3zw2wMeMpslMV88Fed6Ky4ibTDjyDRN0OYowI+HptquH+mSvM3FMr2PzYb3G9kwGP47YXasRW8rHlzXR2xiXJtvkPTPmMxs6KBgGpgjvnhvl7OlRRsOIrx++yLAf0uUlIWi7m1w+sm0ZI0GEjUmksLyjwPsrizjHK1SDiDFV1sxat96Rcfng6/vZ11nEbc1RH62wK2NxcJ4CLqqKXiU0uavg8Hr/OGunOXcZIgzUA55cfuW19StR9kMmVrTz4hMbkFKGlT3NbNvQzSuvHeSFq5jilxqGYdDcWmLP3lM8uH01AAcOniWbz2Lb6avuTiBwS8WIUqZIn+ArYFjMyKkNjb/vwIgFqpiNdKFFMdkU5iCErAa0W3Nf9pAk/vD6axwoldnakQi/ih/TiwWR0m6Y9OTmejWbCLHOXDK2jMScPJu6oTNMXCpKJYjpL4d85dwYq9ocHmjJUnQszHBqQ8cwEE+o5SMcDMbjiEiVD8bqbM4snPm113Xosi0O1D1iVR4r5TkaezRPS4JywPf57I7llKOYWpQEJ2/uKXG0f5xPtxapSZKWdP9IldEwxLAcDBHypkEQJg5usSGYtoGShMZVssbk8sN0Hs66MOGTbctCw4PbGhhnrOzTVJi6Fx8cGWBj/srx7rFCZAhHRipsbFh5jo5UyGZs7JtYe/9wrM5zn143o822TYwFjrm/HTy8cyPnzw3y0qsHAVi7dhlbH5zfSS8l5W4iFdZXYEfJ5ZVqlc1BDpEkIcRhu8qzpdu/llc0TTwnglkJvy7ZPo84VzZ5bsLm2L5hXrOHyIvQVFUuliPaI5sxYvZZE/QULOKsge0kwmcoDtnl5jjseZOCM1Klpg1hZiSTlv1xjccKWd4bnOCxRsaqWqBkYyEYillfzTA4EfB+VKEezZ1QFDH4/niZddkMrggX/YBBL6TJWVizq2MY7MhNmaM1howk5TlzpoFpJalI/VApNTTrehQTG4lTnW0ZxGHEI805Xh2YoHMETlwYY1V3iYrGZNRgsBrw4cEhDpd9NneW+MTq60tDCvB4R5GX3zhBtrNIa0uOvr4xWuoBXbPWXnf3jTFartM/4VELYx7uKfH+wDgfDk3QVczQ25Lj0Zswf0MyMauFERpGyJgilkEh58I8vhB3A8tXdLB8xdz0qrdCHMfsf/NbZBlBVYiyy9i889kFPce9SqpYLwypsL4CRcvime4Mu8dqaAhiwTNNGYrzrA/fDh5sc9g9WGFlkMFEOGXV2dxmXzXhwG6/RnPe4vOFPOdqHt+9MMFHzCYu17Tojmze8ar8+LrOyX3esQ2OXfLIY/BBrcoq2+FM4FPRiFLG4FBcBSOZzJQsi+OjHi+Ho6xqznJxPORoX5UNlaQ+dbvavH+hTM5VKkTkp5XlHJKAT+aaqMeKF8XsclwebI75g8Fxnr52bYwbRlXZF9Tp15AzdY/Wxjpv7EdcqPi02TbSsCdYQG3E54+DOp0Zh66cycZ8BssQVpsWe752hBMPd7NtQyeHzo7xyndO0DYWYbVaPLe69Yr1qOdDRHi+qwkvjBg7P8banIORm6nRvnNmhGWuxbqOEtkegyhWvntmmC9uW85b50fY3FOieVbsd9kP2d03hqrS25Rl9VUEecYLeenlw3z2hW2ICHGoXByYQP07sOazRNnz/f/BZ59qIpdbBsDgpXFee+MbbHvy1sPN7nXS0K2FIRXWV6FkWTzXtjSGaJnr0L3c5mC1TqDwsXzuqpnLTvs+a5ozLG+8xBV4yMpNFpWAJOlGV2zjRTGuaTAaJIUzzlh1zEiJUd6vV9iVy9HhzB+TvM5yiWrK1/qG6B3NsUYc6sR4if8aEkFvweWlsTIagWNBd8bGNgwshIIhFBr9cQ1jQWfhsSpjUUTBNNkf1Hmoq8AztsW3RscYrdQoGgYZx+TL75/jJ3etomCbVMOYP9pznuEzPhviHM2OzUl89rWNsiKbTDZax0Ne+tP9nCmdxFblk7ZD55oStSjm7b5RbNMkYxo80FG47uxNrmXSeQXv73LNZ1lbgQkvwBTBNIVNLTlOj1Z5dFkzr18Y49k1U9r8mZEqp4YrPN2bTByODVd49eQlnlkzv8Y/WvZYdX6Yb33tQ5Zt6mF8tMKZg+fZ+dSqGxzxuby77zzjQ2UMgKzDs4+swrzLqnCNDg+xrtMjl5uyqnW0FSlwgjiOMRa4+M69hCBpQpoFYmlIomtgmkKx+a7o6qLzRMvV81lfpjLh8WBhSkNzLAOVGDGZ1PyMRv5oMRPP6a6Cw8qmPANGTLYWsSN7/aEuL2RL7K76NOuscpdmiJYzfNRsRlxhOA7RLiETB/i1GHdaWNVJz6OtyaVz/a3XPj4wXmXED+lwM5zzQwbGlNacxWuVGo9t6GBVKcvx8SrvD5ZZMyq89kYfcdZA6zHli3UeDAuEja51qM3YYMT4VoODmYiOzjwtQxGf2dpDS8bm4FCZd0+OkK/FHO4PeMjOMhzF/IYzyicf6qTnKuvP14M1z8tuZSnL2wPjrGzKorPM1ccvVfjoNFP8+tY8ZT/kUsWjOetQCUKKjjX5ErVI4ubXV2tc2nuKFY7Frq4ib/VNsGn1zZuTX3vvNGsM5eFGbXAviPj6S4f57ItbbvqYd4LhgQs8Mk8oXEvBoF6tkiukuc9TFp90Snivoonp9zIrsw4DzkyzpqFQycTsLdd5alkT21sLNDsWT3U20dOe54w3f1Ws+ejK2JhtMZc0OUesymGzQqfYtDbmhAK0GRYjAyGPdZf4XlBhKAoSf4B6nXdrdV5c33xDl1mLIrxopvPbQD0gVni6vcTGYpbHWgt8tLuJPx4c46k1bawuZRFgbTHHp1e3U8kITRhs9W22GS6GL/hGUjqy2qj7uM3N02S5PL+mnUsa8SM7e2nN2ogIWzuKrFrdzPuDVR40MmQioVssdvouv/dO34z7cDMEk7snzn8Ab/WNMTRa47c+OMPaWelG7XnM8A91lfjyu+f43T8+xrf/8BRf+rPjvHdiGEgqmkJiku/Iu2Rtk1NjNfLNGb7z5nG+/9ZxvvPWCSq1638eVJX6cJmuaT4erm2yKmvRN7Q4OegXi2Wr1rP/yKU57QNjkJ0nEiNlGo0461v5pCSkwvoeZWPW5cPxqfzQIsKaToc9RpUTcZ2jcY0TWY+WrDAchWRNEy+KKYcROUNYW8wyoNFVzjCXj/UUWbZWGGirMdxVZ8cql07mWgJcHz6oe+xc18pgK3wtrlBpMvhrjy1jZfH6tNDBus83T17i3ZOjvHlyhG+evtTw5oZj5RrbSlNWARGhZFvgGDNSgdbjmKJr0dua5Wwh4tv1cd6LaoxnlGLWImebFBwT1zKoxhFN+UTVth2TomtRVuXQWIWXRycYypus3tHJuVw8qQk7YtAVGLzbP35D4zib3rYcb14YJeeYlP2Qd86PcvrcGDvF4Xkny+4DA/Q1coHvHZjgTN3n1cFxXjo3ghcm9/DoYJmm8yGbA5e1psuWusPp9y7RN1pjWWuOD6cJ0HEv4L0wpDJS5qPrW3lufRsfWdvC9944hueH8/ZxNnGsuPO8aFc2Z+kbuLuEdSabZUxWcvBwH5BMRN5+/zRm2/bUxHsdGI1Mgjf7SUlIbcv3KC22xWgY8dqlCSxTiGIli/Cj61qYCCMMgXwje9jrXo1KGGGLUGg4gakqN6MQbihk2NCIYQ5i5aA1QU885fzU78ZYT3fw559fRRQpr7x/jk+fr7HCuT7z/uW+vXt+nCfdLJfnArEqr50b5WOrEu+02S9RxzAY8cLJcLx6rBimMFT1OHF2jE+UCmS6Mxz1Asp2zHhfRCsWlTBGRfmwqc5TmQyxJuFappGU7uw3lKfWdWAagt8VUtkU8NrXz7AhSH5ahiGUq9evkc7HhvYCrTmb1y6MMVoLYLDOix1NuKbBkfEqphfz9XfPkmvL8fSD3fzg2lZsQzBF+OoH5/j4shb+cHcfT/o2Zc9HBVzXZI3psPvoMJ95dDnnXJOXB8awczbZriLdLVme2zhlSjcM4eNbu3hr33me23nttWzTNKjP86I9cHGCrY+tvaXxmM2lS2Psfe8gqLJh2/oF9wQH2PzIR+k7c4LDLx8gRli+8ROs6UhDwq6FkHqDLxSLKqxFpBn4L8ADJD5OPwkcBr4MrAZOAT+sqmla/UVgTdZlDe5kHWJV5cPRKkOVGDGVh9uytNgWpUio+iHtmSmhune4zGrz1h4P2xDaW0wGhwI6JPG+DncW+YHnViWpNC345JOr+fpLx1kxfv0zg1MVj9Uys2+GCKYfE8Qxq/MZDk/U2DQtg1ioynLb4qW+UZ5Y1kzGNrAM4Y/39vGpUhG3kU1tY8YhUqW8xeK9c1Va8xmaerL8rafWYlsGL793njYR9vaP8dKxQX7m45uwIyj7ETVV2nIudncGzoZJwRRXb9mWd3i4wiBgNGWJJjxe6EhC5T4YLtOZsdnclKMSx4ypcvTMGKt3FqgGyfLA5lXN/PtXT9A+GpGfVt6yWo+wcwbasKuvaMqxoimH+8JmAL7/5rE5/XBsE42u39qyfE0Hb58a4tGVzYgIRwfKhMUspVtcw5/O/j3HmDhxlOe2diMi7N27m3OnOnj8mR0Ldo7LLFu5lmUrF3aikZJyvSy2Zv2LwNdV9YdExAFywD8AvqOqvyAifx/4+8DfW+R+3Ndc1jK/cm6CjjGXHhxiVV4ZrfLwygwP5DK8f2EcyViUXIuRWkApUDqmVbCqRBEHa3UMhAdymWsW7LjME+15Drt1zozXGHXgM4+tpzArhWXPqhbG3h+g6TqzTIWxzvCED2OlFsWUg4jXB8Z5rKPEgBfw5qUJVuZcBryA8SDkUz2tnKl5vNM3iuOYBFGM1iOMWblhNmccdlsxT36kh2c3d874rrOnyPKxgD850M8KNwmdizSpT62WMB5FjBoRe6IKtiu0lhwe6L75ms6vDZZZu2M5DzSqfr225zzvv3aaHVmXahTRm59ybmrJ2IxM+IxWfZobCW8K7QVKYtDVnqF+ISbTuG850+BIrcYja1bMP8bI5CTvMl4QYd5AJrAtazsYas3z8sELiMLKla08s2Lh4vJUlf4jx3jhoZ7Jtu3rO3h1zwU8byuue+OlTFMWnnStdWFYtHEUkSbgOeC/Aqiqr6qjwA8Av97Y7NeBLyxWH+4XxsKIN6pVPgh93vHqHKt7c7Y5UfEojdkUG97Xhgjrwxz7BpNtd2azPIRFdy1ml2GzcZqgPlStcywKeKyzhOOY/N6FUf74/Cina3PPc5k9E1XeHCvzxmiZ2FBeXF7k02tb8Gpz1zwrFR/3BsJf1hUzHI8S03IYK7UwJieCZRs8XszxSv8oW4pZdrbkCWJlXT7Dcx1NGCKszmV4urVIt2ujBuQyFrHAeBARKQz5IS+NlumbqHN+tEY8Kx1od2uWQS+g27BYE5scvjCOiWAgFEyT2IBqzae1y6XQ7rK6t2my/nWsyqHRKieHK/Ne16Wqz2sXRnnn4jhRrEx4IbkVTaycVp7z6e3L6evJUwnCZB0e8GPFsk1UlRWOxcEL4wSNfh+8MEGbafL0imbONkUcjzxGopDD1BlZZrK+c6Yn81i5zrdfOow3UOaX/nAPxxux2uVawG+9dpJiMXNDDnPtzTleeHIdH31qHeumCWpV5Z2DF3jp/dN8773T7D0+cN3HvEy5XKN5HiV904oix46eu+HjpSwOInJLn+s8x98Wkf0isk9EfkdEMiKyRkTeEpFjIvLlhsKIiLiNv481vl897Tg/12g/LCJLKoh+MTXrNcAg8N9E5CHgPeBvAV2qeqGxTT8w78KPiPw08NMAy25gPfN+I4iVvZHPiyuTF6EhwomJGsdGPdZPE7jnKwHtzM2+Fk6Tt0kazZlab6hK2VCebCny/b4xmiYsPmaWOFSr8crZMoea6nyya2Y+6jdGy2zMurQ2hEm/H/D+eIWn29t5df9FtvY2YzRMw34YcenkCJvM67/Hhgibuoq8NTBBe2RgibAnDHm0s4ApwtNNeXaPVNjVWmBUI8bqEdus7GSO4liV03WPj61u501jhIlhj3bX4vBEjaqhPN5Zojlnc7EW8advnebPPbFq8qVxvG+CB3Muxw3osS327h9ipOyzfWUzZ4arvHd6mL+yqRtrlun7xHiNMxWPbS15vEs1vnJmlCc2ttPWSIDy9uAE2eVNPP/oCir1kO+8dxZ7rM4TO7bNvHiBTWvb2TN0mpG6x3rNYdsGjmUwVPbYV6nzxKZWJmoBZ0eqDA1VaWnOEqny6U3tjHgBF6s+tsBHH5iyGozVA149O8zo/j4+u7qdt0eqbFnezOn+cb69vx/NZvgLP/gEI+M1/tPXDrCyNccjm7robLm+muCz+d77Z3hodSttTclSxdmBCd78/ns88fyu6z5GLudS9uamwe0bqrJi3fVnkUtZPITF9+gWkeXAzwJbVbUmIr8LfBH4DPDvVfVLIvLLwE8Bv9T4d0RV14vIF4F/A/yIiGxt7LcNWAZ8W0Q2qt6gp+0isZgWCgvYCfySqj4MVEhM3pNoMkWfd5quqr+iqo+o6iOtd1Hln9vN7mqVB9uLVIKYaqCMBxG9+QwjMnNYW12TcZ2r1RpXyC1+mVN1nw3FDGNBSDihtBoGr1XK5DH5aKZEqWrxtb4xooa2VY1iMoZMCmqAbscmiJUwVjqHfP7Db+/md186zu++dJw/+uODPBpN3d/jEzXeGBxjz0iF+Coa3Opiho+vbeeUHVNqdfjEihZaGpM6xzAY9gLetiIe3rWMhx9dzntWxNl6oo0fHq/xcKMAyRMrW5hodXkv9Nldr7O1JU8pm2QzazIMemsxB86PAfDumRGO9Y+zO/S54EKf57PdsFl+qsJ73znJW++c5UeWtc4R1GEc88bFMVbmXdozNiuLWT7W3cy7x5PQqZFagLusxM6NHYgIhazNZ59Zy7glnDo/Oufaa2WPz+xYztaN7QzGEVnHZKTqgyHYjsHhI4N8uP8i33/nLKuLLs9t7uSNep2j5RqWIZQNyHTl6JlW1euNvlGKrsWPbOzh0FiNpx9fwbMPdPP85i6++Mwa1rXnePX4OBeiAuu2baCu8O6Ri3MsD9fDeLlOwbUmBTVAb2eRypkzxPPkoL8SpmmixRZGxqaiHupewAXPpL392gVNBvov8ParL/Pu669Snrg1j/2UO44FZEXEIlluvQC8APx+4/vpVtzp1t3fB16UZDb+A8CXVNVT1ZPAMeCxheykiIyLyETj33Da/8dF5KqTgsXUrM8B51T1rcbfv08irC+KSI+qXhCRHuDG7V8pkxyueDxhWNM8LoVqGGOaMwXG1lKGP8iPka/kJzXMPsOjp9XkvOfT7djzVsdpMg1Gg4haELNCbPZ7dbbbOTKNbTsNm+Vq8/ZIBQvhbMWnO2fNWe9stkwOjVcZHfD4hOPCcBmAd/0a9TXNWCJ8p3+U9a7DI/kcY0HIN8+P8HxPM9krZLwyROjMOazIJtqpArU4phrHHAwj/rdVHUQBqAkvbu3mW3svsEIVU5g0EwM8trIFf3kTw++fo+jak8kRs4bBcrH5ww/Os/f4JVa0ZPmxnb0APLu2nS+9fYZjQ1XyhkHsGnx2Q/ecUJOTYzU+uDDG0815okrAN4bKPLK6lc6cS0YhiGL2j1R4ftfc6ladHUX6jg2ybkUL+Ubt6r7BCbLlOtJWYOfKVo5ly7w1MMGhgXGe6m3lkyuntOWNOZdvHx/iLz+yis/v6qVvvMbF8TpPbWknO20CfG68xvqOAv3D1cSrPWPSnHeJNUm3EkfK8ztW8mY5y/Mv7ATgd377Ozy9TPjw2AAPb7wxr+jvfngeJ+vy/aPDHD9xkVXteSzL4PxowIW+Szfkzf38J57gjZc/oH52MLlvuQKf/MJHr7nfnvfewXRcHnz8aeI4Zu87b9Ld082qdRtu6FpSroHMrV54E7SLyLvT/v4VVf2Vy3+o6nkR+bfAGaAGfJPEkjuqOqmhnAMu/8iWA2cb+4YiMga0NdrfnHae6fssCKo66cAiIu+r6s7pf19t30UT1qraLyJnRWSTqh4GXgQOND4/BvxC498/Xqw+3A+YVThf9VmRn3KmcVXoq3jsbJoyg4sIn19d4rWBCl4tKXdZzUZ0F/JYjsUHlTpZhW25mVnLOhyb70+Uebglx16tEcRKzjIaWq+gEmOLwb4Bj8e0yBYc+kZ9vlaZ4NPLi5MCeySMiEbrPOTMNMU/bGf4YLBMS9bmwVyGloZG3mRbfLSlwDuXJnim88pa0pamLG8Ml3m0lKOCUii4/PbhAX7gsV72nhnl5JEJonqE1WKxbG2WvmGfDe15XhmYoHuNSxQrf7bnIv6gz6XQY7QQkHNN3MYEYTwI2dVSYMyEp2YV6PjiYyv53t4LPNU6f8a1WJVjQ2Ve7GzCQLBNYXnO5ctHB1jfWeRi1eOdMyOM+wF/+pWDZCNFHZPezR1sXtNGGER8tKPAWy8dIc45xLHSFIQ8Oq2E6PqOAuva80x4Idu7ZvbDNo0ZZqtlpSzLSnOz0tWCiELBBVMIonjWOqESItiWiU7Tej/+ycc4+J2XoH5j+cPfPHSRx57YSFMxy96D5/jMU+vImNCccxjzIl7+5iss+4k/fyNrlTz1/M5rbziNarWOH2TY/lBicjdNkx1PPM17r34/FdaLwAKEbg2p6iNXPr60kGjFa4BR4PeAT93yWW8DImJNm1BcdS1wsb3B/1fgvzcW9k8AP0Fiev9dEfkp4DTww4vch3uaNsNi95lxZFWJ5TkHL4r5ztkRmnTuL8QxDJ7oyHOgWudE3eNzy1spNTSsFVmHveNVLgUhbbM8fp/I53h/tMYJ8bDjRqlQICDGMoSxIMYLYo5LjVChgEnTuM2BUp1tpSxn6j5Z06Cmwuyc/qYIGikTQcjmwtT6Zxgr7xNQ78nxQUaoj9R4xHKwZzmiOYZB/4TPfx+sUczaDJpjZIeFb+y7iHsm5CGrgCEWcQV2XxyhuiXL4GiFLU1Zvn1yiFMXq2waNjHUIg+cGKmxpimDU0hM97urdT7b08FbE9V5x1+usCBXDiK+2T9CMWfxXrVOjwhrClneHavwwtp2VjfnqEYx1Sjmtw5e5AdWtbO8NY8qHNzdz2sTdQ4fuEjTsiaeXN485/hBFPPa6WEMVSKF81UPP4pxplkhvnXqEn9+x7UVg3Wteb5/Zpin1rTxnWNDZG2Dmh/i2CYXyx6nJkIODQcse/JxwigiDGMKeZcj58f5kSd65z3mnqMXGbg4ii1JBrbOrmYe3NBFVQ2WdTZRrvlURit0r2qm7odMVH2sXJ7HV8K+PcfY/tDiCc39B/tYu+mzc9rdbJbA97Gd1It8oRBuSyGPjwEnVXUQQET+AHgaaJ4mDFcA5xvbnwd6gXMNs3kTcGla+2Wm77MYvAL8voh8DXiWRJG9IosqrFV1NzDfjOjFxTzv/YQ48FDkcuZYmf12jIQQxhFPrpwbLnSkVmfCUHZ1Flkf5/hwosrarMvyRnz1A8Usrw9MzBHWrmHwZCHPE/kc3x4aZ894lc1OFttITFzHqzW2WVk67eQ4h70a+djgvZEaZYnptC0eKuZ4s14nDmbWCK9EEbm8ha/xjPrh7xghn3puHb6hFG2LIIr52isnedaYqZm/emaMpyVPNQNNJZcT41W+Oz7Ohr0mBbF5xxxnVT5Dp+2ybsLBCQ3WryoyMFLj+c4mLh4rUzIdDIQSJv0jPq+MjUOryYqWLJ9Y0554pQYx1SAiN818PFTxyc0zKapHMW9NVPnCjhX/f/b+O8iSLDvvBH/X1dM6tFYZkSJSa12ZJbuqqwUaDQIglgBBEhSwIXdsbGw4O2PLnRmO7YzZ7OwAXBIEAZAEIRvdjW5Ud5eulFVZqSq1zozMyND6xdPvubr7x3sZIjMrVVc1urrjMyurfB5+3e9z9+fnnnO+8x2EC4Yi+PDOFDdmC2CoJLwGWcfBtUE3JevDQT48PUmiIcOOzgRNQuG7B/r4+x01XJnMMxLyPOARv3djgudbE3PGudar8x+vjLClNkLQUDg7nqGtNkjQ8+k/8dtTWW4OzqJYknHb5l3TZntvAydvTfI7P7xCojFG14pmmlfVMpIscPPKHSLhAOGon4sX79AYVOfC81BmeF8ZSHJneJa2gMLzK+bD41eGZ+kbnEGr9PkO+gwUwHElmqpQcCWxoB+fK7k+8fnKLtTXRbgzMEYgtPg3YhaLqH9LXfWW8GNhANgmhPBTDoM/D5wGDgK/CPwli6O4b1Q+f1z5+wEppRRCvAH8uRDi/6RMMFsGnPwc5/3fUCa7ra7M998/auelJ/MLjm3Vfj4cz5GQGtWmyohi0V3leaD5gy0lKeRcyNYnFPZUhTkymZ4z1o+DEIIXqyPc8Ze4ky4hHRgpWFRJja6wfy50uUYXHMymWRH0sC0yH7L1exTeSqepUTTCqNTrOlcwea0qQdZyODWdZWskQN5xqOuIIhXm6rl1VaGxNUrmbo5QxWAWHBejJBGGQJMS03G5MVViByEKUuKTCiukj4uZHKouiXp1Lg6l0YRLX65Id8SHJhQEgrzj4iJJqDpV6CTDCrsaY3Nz3xwPcvDKOMsaw3QmAlwbzzI0nmFP4sEQ+LnZHC/01GCoCqmShYHKrvYqvvPJAF2BILYCOBK/JXARdMT85N086ojNeLxAZ8xPWFMQQrAq7OfEcHqRse6bzrIqEVzkRa+oDjFesGisLQui/HJr/JG5wtF0kf5bM2VJUAlfioS4PF3gggOxVQ20jqVp7W1nzbJaNFUhHvNjmQ4/+M/fx9R9LKvz8/LmeSWzsZk85yZKbNzcw2DqMs1VKkXLwVu5Vysboxy8OY0MzT8PjqKgKoJcwSJcqQs/d2ea3ucfn3P+cdDUmGD0w34aW9vR9PJiI5WcQde1pQ5anwM+bza4lPKEEOI7wBnABs4C/wH4EfCXQoh/Xdn2R5UhfwT8iRDiFjBDmQGOlPJyhUl+pXKc3/6smeBCiL33bboGXJNSHn7c2CVj/QVHSNP4UmOE8ZJJwZW86A099CV9p1CiOzLvlQoJpuPiVRXytoNfUzmfLrDsCYQk2gMe2isqVG8MztIt/IvC215dww0obErMh7VPpHP0RP2sa64ibzuMlyxO5gt0hH18PJWm2e+hI+rjWCpH1rJZ4Y+DIuZyxwCxkIeMnaYoXS5mC0xlS2iWS1Etf4/BVIFAUUVRFRzpIG0JEqpdDcsvGTWL7Ij76FYNWgx468YElg9mUw5RX1ngpGA6nDVz/J2GhkXfWRGC56vCDM+UODqUpj3oZW9VmJmiyY2ZPC1hLw0VmVWpiDlDGtBVspaLAHKa4FaxxPpYgtlkifLyAG5MZqlRdTyKQt9Ejsawh4VBd3EfK340U2JH3YN5fE2Ih+akH4ZD18epqfazpSL68tGVceoMlQt3pljTEiXu1dm2qhHLcSk6LlVBA9ev01LlY1VI4Voqw8EzRVS13F/7bsrkN37jpfL9NzSCQS/T02ks2wFZlitVBDRFPXx46jY7NraxckUT3/voBrtW1OAPebnYP00p3kAi8Xgm94+LHc/t55PjxxBCQUqJ1+th4/adn/t5f/7wk9H3llL+K+Bf3bf5Ng9hc0spi8A3P+U4/yvwv37mE5zHf7Pg3wHK8ztLWZPkkVgy1j8jqH2MkQ1rKinLocrQcaSkZEtKDkykLM7fzlNdpdHh1Yn5ny5fl9FcVFkmkdwTy8i5DvGEhldRmDItBoolFEUhUQmBBjSVhJSkZ20iUlDnMRjKW4zbNvvqogjg9HgOtzZM2qpwLwTcuJvEkjZ1TRFerKllfLbId9+7DY4k4zpEhcIt16QoVYJ+lVzOweMKLAXGHZOaOpXusA/TcfGrKmuFh4N6ifGwSnrcJCAVJgOSmp5wWWjlIf2lGwMeGisLlUN3pjGyFp2GwfB0mrNGii9116A6ksl8CUMoCAlSAVuBts4EVWEv12fz1AkVVRHcmMkzPFgggoHtuqRsm6OpHG0RHxnTIWnZNNYu7uzUXRXgk9EUXkUhbGhEfTq6pmDJJyt7klIiggbPr5lfkLy4rpF3Tg+iWzbL4n6SMyWEIrAtScin41B2wYUriYd9jF6f4le+tgFVVXBdycWBWc5fvMva1a344hGGx8dpjPtBShRFMJUqcncqx3NbO6nOljh69AogWNkS49ZImqv2LD1f/xprG6qe6vl7VuiGwbY9z/1EzrWEJdyDlPIrCz8LIVqAf/MkY7/QxjptOxiKmJNQfBxulkwyXoGuq1imQ7Qk6fg5kSSsNXQOZ7O0+z1kLBevo1ByXbIzkrXFIH1TeXqWPb1m8/5EkMOpAqtMDwlFZ8I1Scah1WtweCZDra7iR0HXVXKWQ0BXyTsOV7MFvlEXJ6CVw9B1Ho2wpvC94Sm+3ljF+J0kBxzYv6qc9/zwygQnL4zzD7/cQ9CnE1AVOqoC/L3XuvjzN27SYml4NYVRn0m75UWRAtWjkLccrmpZwhGVL9dXkypZqAgCuopXVVBtk19+rp3xbJFUwWZ/VQABHDo7xHbvp5Mzr05nqcm71HvL3nSzR6fOcfnL62NomsrVCwV+YXUDPkVBl/BnF0f42ovLqA77GEgX+OHxAdLX09RYOj0eP4qqcMkukKz3UB/USZQkp2dzBKIe9tWEuD6RYSJTwm+oCK/GFZ/Oc5vaSM8WuHp9DHcyi+5/sp/zcLrImvY47n2y5Q31YYr5Eq5Q6I54uHB5mM5ldaiKQArBVDKH4tgULYfqiBe1Ej0QAjoaIpy6PYXsbSFWFebD8zdYXbBYXh/i2lCKwaxNU30UgEjQw97eBZGLCqVH+QkZ6iX85CDEUiOPR0FKOSCE6BFCqI8LuX8hjfVAvsT58RLekoIlJAQkLzQEH6lXPWCahOr8bIrNeykXJjOMTpeo/zlRSNvi83NwPEW6KPG5CumUS2fRiyoEVQWD/oJJu//pDHa9YdAadjCiBuMlh6ZIkJjtcLF/hv2hIF5FwXQll0pFWnweSo6LW/HENSFwAUdIYl6dCFAjHQ7NZFDTkvpLWX54rSxI0mmrbJE+pnMmyaLJ0FAGaTlYmqC5NcTKIpw3S/z2inrevZlieLyI7UDAK/iVUJyS43LodoptjQHqK57xjGmje8rec23QS20lnTpbsPArjxbiGU8VWGvo9FsWM3GDUNTH7YkM3f4gPWE/ugtn+mYYNy3kbIkeFG6PZKgO+6gOe6ltiVAd8TN7I81o3mYIm61f6SQS9zF7Zwqv16BZQp0QvHVljJUhHzsSQUazJU4HPPz69i4sV1IT9dPaFOXgd86iF+Z/626la5r6kIShrgqSRZuMVmbjY7voLozkSvgjPoSAxqifob4Rjk2k8MeDlAol7t6ZoLPKz+2JDNYCIpYQAte2mZmc5b3vHObOcJJfeGE5o9MZPh7J0dlczarqEEfODj5Qf7+En30s9aSehxDCA/wzyuxvgA+BtU+SG//CGWtHSs6MlFjlzOdJnazk8FiOFxseXu8KMC4kL8QWhxPXVId4fzpP/aPL235m4FMVtgX8vDWQo9b1lHVeK9dQimeXs9tmeLmSLCI1Qf94hmZUqlVtLuJhKALhSiZKFnGPBkIwY5XbdFowp3ENEl1VWB4P8OHIJF6vwiq3MisFIq7k8nCKeMmlR9dR0FBseCeV4YotWV4VxKeqfHV5nD9yR9lfCsyVemlC0GN7OTedpz5QXjRcsEp0xoJMZIvU3Ms3S8mHNyfYHw3wSAhB2rIx20K80l0W8bAcl3WxINlMiYCqsi0eQkrJj6bHmHRtLp4eYH1XglODSV5ZVU/OdgnuKTPdEXByOE1HXYg7k1nWNEQ4cGUc6Ui6Ax6G0gVKts048JXtnRQcl+C9ML2mEmmK4fZPYzouR0sK/o5mFF0jd3eUtWaWxIIowbHpLFrUSzTsQwCO6zI1W0DYLrGGKKOzBZYFvKyqDSF0g//rwz5WNfpp0QXF/iS3klnSYS8vmA5eozwHx7JRszlWNEdJh3ycvT7O2q5qWmpCRO+1TLWdBwx1Jm9y8toouqbijr1LdUcbq9d3P/1D+LcA27a5duEcpWKR1s5lVNUutcx8GH4CpVtfJPwe4AC/W/n8a5RZ4H//cQO/cMb6QqpAh+1dRGhShaCUf7TsoaY+/IHRPkUd62cVhqKgBCUytdjDmfGb7PU9W3coIQSrvItLqvrzi5t8rA/4uW2avJXLo6mCsKIyVLJorOTIXSSXswW6a4LUBzyklcX516zj0ueajE3bbI9FCCpiru3nazVR/mBggn3++Tl4URZ9P0NRkCrczVucKZUwAhqvttSiKYIzfTNc1hVUTVDM27QrKudmsgRVlcaAh8BD5G6X14Z4t2+Kv7+sbdF2XVVwhEAiEQiupvKoYZ2tNWG2aoJvff8KmZjBxqYoUhGoikBVVFzAshzO35hkU1WQj/umqNZUTvVP0eHRWRcPMV40uTaRYkPJRizIp2cLFiPJHFEFjpYUXvrN19Dm/r6GH/75+7zg5BCiLHriqQnx8tY2Dp4dRLNdhAKDyTwbAh5Wb2rjrY9ucvLCCIqm07ZlNZs3aZjX7rLWlngMHWpjXJpI88a7V/ilL6/GcSQfnLxNd0TnYsnga7+2nY9P3WCm5FLj0TEth+OXRyjZkutDKbobw2Vv3JUcOjfEl3d1lu9VMMztkbucP+2wdtOKJ3385jAyMs3Y2AzLlzfj9z+og/9ZYmZqkitnz7Bpxy68fj+3rl5h8E4f67ft+FzPu4QvPDZJKdcs+HxICHHhSQZ+4Yy1I+VD/eDHNgIquXOs53tIlWx004UnI9B+rnCkZNi0iKgqkYcQmz5L7GsMcFDmEFkFVYLpd9nZ6P9Mw5NBTWHSsqleULNdEvBSU5wqj86HE2mu5wqczeZpDXpxBHQkyiHqqYJFa5WHg+MZ1mllktK44lDbEWR0MI0ddHANDVyJlBJVCFaGA1xM5VgfK8ey64IGuQkHj6LgUQQZ26VkO+i6QCLYWh9FUwQTBZOS42K4kjVePx+5FrdcG3emiFl0uG46GGGdF7uqF7Fa6/wegjEvBSSu43JuIMmNyQzLvQaqJsjaEs11GS2W2FYbQdcVgobGLzQn+PbYDAFNxZaSdM4k6DeQUnJnJIVRsLD9HlZXhyjZDs2GzubqMAJBc8DLr7Qa/OVfn+UXv7mRkuNw7OoY/oDGus3NJCcy9Ds6iqqQNW2kBJ+usHbvOm5//wM6Iz4yJZtQ2IvPo7F/cyv5bBEhJU2zBd59+xqrgS/tXEa+aHHk0hjXbo0QLGbpzZt4/OXe6KoiWFUV4tT5YQ43hDFNB1J5htUwr3x9I4qisGvrcm71T3D8zijXLt+lc/VKdr+2jUsXbnLkwHkaAy7j0zm+tLOLhSvvjoYwB6/ehacw1pZl8957Z+jobGBZdwvnzt9GVWDr1qc3+E+KG5cusvvF+aZMy1au4sblS8xMThKvfnK51J91CJZy1vfBqjQHuQEghOihHGB8LL5wxnpNxMfbUxlWuPNhSldK9Mc0/1nr9XDw5iQrG6K0R7zcms1zcyTDdu/Tk6o+a9ywTKwqD8vqq5nMlLgylGYz+gO10k8LR0rOJgvkbZdlYYP6Sj11UFN5vS1M1im3hXySxYErJSOmxaBpoolyuc7agO9Tdbt7g37OpHPcKpYwhGAUl0B9ACWocjNdIOBVUcNBMrZD2GuwMuYv57cdlxOjKZDw6vIEV2fy5GyXaMggFjawShLXlggNJGUltaLjoqjl2NI9bK4L8f5sklZTJ+9IcOGqU2R3KEhoWvD9wjgtLUFiNQGe66miYLv8yem7vNhdw81Pxljr9YABnY4kW7Q4OjDD3tYEx0dnOT+aLRMb/QrDswVuDaZYr+isrYpx6O4MNSEvqxJBfnBnklUxP6jgCMjZDj5Voc1r8Na5Yb60rhFNQDZd4FvH72JeSxPyG9CsEWnSODI0y7baMFnTIVRZ9OiKgi+Z58ixW5R0je2r6wkZWjm90BwjPlXg7JUB1vc0IwTkTQeh6+Rsl/MTaWal5E7BYp+U5FIFwroCCG73TbMjEeL85VHWrqrH79XZu7oO15X8n398jRcTEQRyrlta0bTpiPnZ1dvI0asTpEJhbI+Pj8/2s3VdG0IIamqjVNXFmSkofPUXX+TkR+doU5LseXUVU5NJZmbTXOybwO9rRFcVfBXOgPqUpa1Hj17kxZc2o1eu0Y4dvVy6dJvh4SkaGz8f0pquP0hMXbZyFZ98/NGSsb4PP4nSrS8Q/mvgHSHEIOV2Bm2UBVoeiy+csTYUhRX1Hq6M56kydYrCJe9zeL720TlGRQh2eXwMjmT4YHCWRk1jh/fzDZU9CVK2g94UZGdzWYCjMehlZU2ID04NsUl79oXEdMniwN08bUUfMQQXx01uVJvsrZsXpQiqDxrpiZJFSbo0eYxyqFJKTuYKOCooqgBdpcVjUGtoHJhKszsURP8UBsmGcAApJccMh9/c2DSnXnV9KkNqpsjueHku12bzHB5LMZEq4JRcAqrK2kSQmKGzoy5CznUJeTSOJDO01vn59t0ZfrkzQUhTSVk2x2ZzhLwaveH5FVvY0CgFHQZLLtgCoQlWxwNcwKVKuoRnJElFsqchCoBfV1nREOGDO1O0toS4rCkUxnKscxU0RWDnLL57bYyQq/CrzWVVs8F8kT852Mc3mhIEwioF26FB09HyNr8/NEBCVSiGvYSCHgxdxZWSXMGi6ErWhX0cPDuMpqt8cm2S1SOShO6DNKQvZHm/aOMPGziA11DJWHa5DAzwGjpfDnt5byZHS8i7iMDTGPVxaXIasbx57nv94IOz+LJFtm5qZFPEy7fPj/EnB27w6vIa8q7G8UtjhDMmK6tDHL09yWxzlBOXR4hU1Ml8fp3LyRxr4kEQEulKLNvFE/Pz3qVx9j2/jrUlC8uW6F6Do6f62LK+HVuCaVmEE3Fc1yU/NkTLqhocV+Lze2n1CMZm8gjK8rKuW14M2E/53KuaNmeo76G3t4PDh85+bsbadR9cUGQzafyB4EP2/vlGmUa6BAAp5REhRDfQQznwcF1KaT7J2C+csQZYFvTSGfAwWDQJqBpVT8HmbvYYPFzN+NPhSEnecQmqymfOZO2TNi82RRdtM1QFb8RTbir6jDg1XmRFKQCirF4WdXWGJkrcCRVpDzy4SElbNh9N5knYCh6hckXJsCLuYcS22VwbwQUCWtmLPjyZotrQ2BkPcSmVZ33w08MaQ6bFupU1i5ShxtMl1iXKOti2K2n2e+gOeTlwc4L1AYNDyQw1C2QyFSkpOi4eBL+wtpY/+9jh969P0BDWkYaCC8SlhneBlz+SL9Ll87Ku1s+M5RANe9BVhVI2zwvbWvj2h3epE4sXK7dzJV57qYdGnwFCYNoOP/zBNXqL4LiQztu83DbvNTX7vTTpGo26xtlUDlnrp3NlA2PTedSLRbb5/ZwXkvVamWIjEOiGyrVCiZeCXmqDXkZmC8yMShILPLWwqjLYn+Wrr7Xz0eUJ9tRF0CvfLVm0qEv4EELg1dRFhlpK0CyLa+cGWNbVgs/n4cyRizTdHmDEq1BTEcX5em8Nf/hBH5eOD+BIWBH2EYuU76HqSD6+OMwrG5vmnvWty2v4n//tUYJCUOc3kBL6HId4dx2e1jo8Hg3TdhC4OI6LK2SZl6Br/Ps//pDnXttPNlsk6ikfT1Am8hm6SnN1iNNXx9i7sYXZ2Syn+zOsfWE3TwP5kDadrut+ruFXXyDA1Pj4HKlMSsnZ48fY+cLLjxm5hJ9nCCG8wD9lXgTliBDi9ypCLY/EF9JYQ9lTbvV9/iHsU7M5TNslIBQyrkPCp7My+NkluT8t1/4MbYIXway0+C24LpqmENJUeqTKsUIWTVdovq9ZwV8Pz1Lr6swqLo50qNZ0rk6XiFcZ+FSF3IKOS5tjQS4nc6wN+bEeQxYoSknY++BjJoRAupKS4+KvWJx7h+oN+LiaKrC5qszu9yoKyaLNSL7EpakszQ1edK8kFvGwtSFKzNC4Mp3j3EyedaGy0TmXzLElUL5PqqHMGTujHBFnz8Z6PhmYmZuPKyX1DSGqoz4KRRufEBiaSve6es59/ypjiktAqhwdTdIc8tJWeQZWhP2cT+Vo2FDHmtY4AO2JAA21Af70/Zv81vOrOHh5DI/p4gpQwh56OuK8fX2c9Q1hDt6YwMRiomTRoXgwKOsGKA5oikJPa5SjwylUt9ywwxPU2dVR9hbDlsPYdI66RKByTeHmwAy783mm/+Qtiq7LtpCXSyWLjb3zTGVNVXhhdS3p6zP0LqiQkFIyg2R5YjF/QQjB66+soFSSXJvMIFWF1eubmcmWSMwpqQm8hopHU9Fchw9+cAzFsdhdq3L9zGVW9LQwU5Rz53EtC0VTmUwViYZ9HDozwAAR1mzbwOUbMxRKLh3t8+0+HwWfT2d6OrVI+ezYsUusW9f5ROOfBb0bNnHpzGn6blxDVVQs22Ltlm1LcqUPQJblEpdwD/8JyAK/U/n8a5Vtv/K4gV9YY/2TwIVMnkahEl+wKLheLDGmm9R9RmIq3YrKn58dokbXQRWsa4kS9GjY6RL8GGFwRZW4UiJUgbfiEZdw2VgfZrxkLoounE/n6VV8tCzI318pFYgJlbxTNtJygVE2FAVLStKWw3DJ5BSw3Ocl9JDcd4fH4NydGZ5fWTe3rTHq4+pUlg2VMDgCZgrWHNmvytD4wfg0s65D2NCwHclYocTqaIC6gqRDMzgVdtnWHMeSkpzjsjwe4KOCydFCHp9Hw9QEV7NFtsWCaJVWkQKwdAWhKERCBiOp4lzdr+m4xEJeiqYDCliOgy4FBekgDZVfqoqRzFtEDY0L2QJeVaHO50FTBKcsm5da5nXEi66L32fQ3RzFp6u8vq2NpGkT8mhoiuDghRG2tyX4w2N3+EpDDFb40SW8P5Ckw/UxkisyHLD4+NYU1VEvL/TWz83zzFCSQ9cnEBKELsidvsuNRJCq6iDjY2luXx/nyzVhBlIFio6LFTDoyxWJWItDkV31Yf7dsbsEFUFbxE/ecjgykmTla71oDwnx6ppCW3OM+Ib5JycW9nLixig120MEfDr5gomuQWk2xc4WP0G/h1M3JtnWIvnge+8wkbY5e3WE5riHeNBgdDpLyZFs7anjg5N30Gt6ILqd7uV1DNy+zfk3T/G1L/U8Npq1ZctyPvrocjk079EpFko0NVURDj+m/O7HRO+GT+3auIQKyl23PlN57S861kgpVy34fEgIcflJBi4Z60cgazp039fkosfr4Uyu8JkZ60+SeZodnYihoKmCd/sHGVVtfiX64+kj18c0xrIWjcZ8/fBA0OTX6mMcH0vjluY7XCULNu3a4tD4CsPL0VwWr1nOtXoVhZzjElAVzsxmaTYM/mZylm82xvGpCudSeZScyarA4qiDKgTBqSIfXBtnR3c1RdvhxnAKO1XiSM6kNuhhcLaAkzbZ5CvPIWna1IS8bK4Oz9V+q7OCtGnRHfIxXbKQuoKuqQRVgZSQsWw6aoNkwgZrGqNMZEr8u+9fIpEr0hj0ApJT2QJVHVGkLhicyLM/HOD98yN4/Bq2LUn6VXYsq65cr3L64PzZUb5cFS7XigoouS5rgj6OpQp4DIXD02lWtUbJu/N9oB0JVX6dhEfjyLlhXt3aSsyrkbYcUpkSESk4PZjk9foYuq6iGAI7Y/FKa5w/vzZOR3OIX2moIh4wGM4UOZyeZO+yak70T9OkaqypLj8bpuNyeCLFC4kgqaFZOn06na1x/ubSKLvqolR5Fb5/a4KVzVFu983QUh3EX0kv3B7LsKkhglRVPhxP4dFVXlxeS6C9mneP99HdFFt0H0eTBVb3LNZLN3QVn1ngwpUhVq9oxHZdTpy6RZMhiQS85IsWGculqTpIUzU4joebQ0ku3pylfyKN16vT21nLeyduM5k32PHy30GvNNZo6eggFIly6swRtmxsf+SzLoRg165epJTYtvNA/noJf4sQIJY864W4KoTolVJeAhBCrAauP8nApaf6bxHjJZOwrVGv60gX0qbNKjyUCjYnnRxRr8rq8GNo7p+CjQk/79pprpp5AkLFGxK81p1AEQLTclDEfJ5fQYAiyxaqYnCEEKSFwyuhMB+MzdIT8RPSVY5MpMgVba5Kh19rrkarhLA3RAOcmMlSdF1ulkyKmmDMssiXbJ4L+GmcsvgkN4JHUdjm96LEPViuy1TaQuYsFEcybdlMmDYXSiW+0lZFTFHmqnq2xYP8zpVh+qcLhAG32kfRcjAUDSEgaGhcnSrQ1VSuFa8JefjG/i7eee8G/nSeQtTga9tbaY366ZvKMTWcZns0SMe9i+CBW/kSH10cZfuqOoSAa/1JjJSJEtCRstxGcixVwpaSu7aN5hP8s54Gjk6nuTQ4y46usqHP2g75ko0oOqzyGvzw6G1CUR+jmSLLA17W1Uc4PJ3HYxhYjiTg0/AkVAoFGyOhs39lNfl8uZqjMehlajpLsmCSy1rU1gfKpL/JDK4hMAUc7J/ipc5yyPj47Wm+sbKRoL98f/9OTYjvXhnla2vqOH1qCMdQcR1Jjaqwvrp8rTriiz3QVR3VvH16gJUtMaSUXB1Ksba7lmu3JxkfTdPQFGVZawKATV1VjE5nOfLemfKiaSZNyVCZmM2j6BrPb5m7wqiqwvLWBMsrYwsli0LJZnVLlLfuRucM9T3EEnGu3HzyxLMQYslQL+GnHY3A2UpttQTWAqeFEAcBpJSf2nJu6cl+BDRVIe+4+BcQlwZNs0xA+gxwJ2/SXQl155xyXlwRgoCissHn41qxxJRpPRWBbiFeqg1ztFSgtz7MiGlxI1ekwXKQeQcW9CHWdIHhCAq2i3AFAhhyTHoTXoKayt5ggKGcyV23yG6fD80vOGuW5gz1PayJ+HlzJMmGxghDBYuXauP4FYX3x2apL5qsr1nsremKQr3PoN5nUHBcBnJFWsMBUmmBf4GhhnKZVtSFfQE/JVdyO+dQKlpkgLBXo+S4XJ7JsjPUNDdmdWOEkfooDUJFQXLn3AS3FGj3e9gef5C12+X3kB7J80H/NaQQtCsKDUGDou1waDLNao+HjmAA25XYuRzdIT+6qrC/Jsq3L4xRzJm01Ie5NZ5BZEyeqwohhKAx6CXjONi2ZE2ifF4TyJk2Ea8OlkPBlXh9GqquUjAd3AWkhZ6Ij2sTGe7p+hweT7Gzt5aAR8OVMJAu8PFQkmUxP44rQYBpu5SssmLY5voI3706zq+ubvzUZ8WVkpMpE3Eni2M5rFpWh2XZCCF4YUs7//FPz7DZ52FF0MvY8F1+eHGEV1/tRVEE9Ykg9Yl717OOczfGOX9rAuHzkbowTliDXStq5rTE78Hn0fF5ys+htPLcDykl0n0iouwSfmohl9jgi/HbzzpwyVg/Apsifo7OZAibKrW6yqBloekKGz8jYlu9V2csZVOv6chKG0EAh/KLusdjcDFXemZjDWW9l7QKm5piuFLy0WCSxH1GdmsswAcTGWqFTq2m0WeVUPywJTpv0JoWpAOklIuMyT3MWDaaoTJasnmuNkLRcUEIvtQQ592haUzX/VT9dp+q0FOJIoRUlbGCSVtg/jpfnc2x1uvFUso//VWqwfnrU4wb0JIIUHAl7VWLDfDobIGEotBUuV/3grhGxeucLJhMFCzaw945sZywobHdmP9ZBKtVfudkP68EA9QYOiXXJS9dXoqFOTWdq4TYYY3PS03OxbmZpFdV+CRdQiZC5fWGgDMjKSZLFicGZ5BBg6uZAjkUXggYCKGgCckb/ZPYHhXdo2N4dNJFi4CmMFCyaF9VzZWrkyQdh9raIIGKfGjRcWitCfLxyCyaXyER9xHwqMzmLbxeHb9HZ7xkMRz2kdzYRl31wyV5f3h2nOf/wU78fg9IyZlPbhKcHWNZQ5jf++51vt7YSLCiG9/kCxFOTXHi7ADbN7YuOs6BE7exTZvnX9pAU0OMoulQtF3eOXqZV9c3POzUAHT4Z+m/eY22Zcvntl04fYxta5ckPL/4WAqD34OU8syzjl0y1o+AIgR7E2FmLZtJ02ZtKPDEHb6eBK0+D++kU1TJ+dtwppSnEBBcwMRvyWcX7AYytkO8OsCGROUFLQQvtyR4vzSxSEFEFYKXasOMFE2GSiarol6ijwgnCiFwHZes7RDUVBzKpW2HpzKEvRq261KSkoBHw3ElOcthbTzIkckUO6sinyqkcg8bYgH+6NY4rzTGaA56yFoO746m+IVYuFz7KyFVsFhleDCLRbYlQlxK5pnV549r2i4fnxtlq65zqlAEAcsUjahRntPBkSQtUR8tVX6uTOfAkWyqetCQnZvMsL06RCM6OemiKgJvRR5U2PMeQ9pyWGZoc/23t8VDHLozjaYKbFeyPORjRyJEwXZwuxJI02V5bYgTd6dRHYkpwW2Psbo+yuR4jqaAF0NXGE/mGVEl62N+Mq1RPjg/wouV1pYlx0VWcvbhmJdtK2p5YyJHwXKIBQxm8ybFosW5TJ5/9FI3h45dZ01vKys6F4t2XBtIsmHn2rKhvncPNi7jgx9NUJ838amRubA6gOEx8HkDFCbnawuHp7J80j9LsGRBJEJTQzmK4jVULEfStbyZoYlZmmoevlhY0RjgonKbMx/eAiWA4mZZ0emhuvqzM9aFQokzn1xDVVXUzk0PhN2X8HlALhHMFkAI8Q3g/w3UUaliBISU8tMbW1SwZKyfAFFde6Tx+nHwfE2Yk8kcI0WLvHDZ011VVr0CbmaK3BnLPPOx+y2TrTXxB7Z7fTpuxn1AWajBa9DgfbIQ/5aAn9PTOVLSBU0QMlS+3prgzGyOPMzpaWuKIGioDBVKJJrC3JaQnc2z9RG12UIIvtoc5927M3gVgSol7a1R7uQcqgEEhLw6qYLJ7ZLJ4YEZqhWVeNHmnfRdNF3BSps0SUFfi5fnV7ahCMGpW5OM9M2SLxbY156YN6wNUa7N5BjOleZ6Vc/NRULEa1AsOEQrnaYytoMrJW7l+mUsG0th7ngAQV1ld+2DJEGfpnI5madfBem4hBIBCrZNSVVoqvIzUzK54Vp4Z0oUihZFIfhnO8sEq57GCAGfxum+aXZ3VmEYKiFd5dZklpWtcaSUPLe1mWNnhjFSecZn8sQbw7z00jKqo35eXd/E6f4pOlviGAv0zicyFisaynlkjPnvr1dXc9dn4KvzgTu16Hsohpdi0IdY1s31W2PkIiEaVlbTkxvnTLpcZqZWFrZCVWjrauDMZWhe9unlVGtrGlm7+t6nB5/bHwdXLt1m4u4A29e3YtsObx35AwJdL1Hf2jW3j+M4nDv+MUqlN7vh9bJqw6ZFbHTLNDn+0XHy+SLrNqymtr7+M53nEn7m8b8Dr0kpn4hUthBLxvpvGZoQ7IgHcaIuhxyT9oiPoitxkbSGPMwWTYol95k8+ipVYyhbYll0sWEsE8wWH+9apsBI1ka4oBqwLRF4ZMvRpO3g+jVqox6CmspkpghClI2ArlBwXHyqgiMlAriULfAbK2sQQjBVZXLx1gyrH1GvXu01+Ls9dYwVTFzpMpXwUtvm4cTVKVodQdJyuGSbqLrK1uB8XXCnBEwYR+Gwx6XXr5O3HLyaSjTs5UJEY2Yih5HMIiU4tsuu2gjL4wGO3J1+wFg7ElbF/LydnGZPQEURgpCmciKdI+kVfDydxtDVOSW0RyFZtHhzJsO+bWv50tpWaoIe3jx+mw31AaIeDdtQOXhumF/orSMR8SGl5HufDDGdK1EbKV+rpniAwZk84zmTruogUkpGZgsIxSUW8hAPedi9uZlgyMsPTtzllW33mNQSiWRbZ4KzV0fZumY+t18T0hkemabxnsGuwDZtWhqquVAb4NL1UXrD857oiYkU6768E4DhiSz79/YyMZni9pE72K4612RFCIEELl0fZXnX305I23VdRvsH2L+tvFAwDI0v7Y7zxpGDi4z1yUMH2Lp7D56KsmEqOcPZjz9iw45dAAwNDPKd7x1GT/SgaGEufvcEG3qi7H/xuZ/4d/qioKwNvhQGX4AJ4OazDFwy1j8lSDsuPVEfAU3BlRK1Ykxbwz7GhjK0PSZPfjabp0S5HMu0XXRZFlYZvlGgZUMznkpOdiJfQqZNLkhwvCpSwuR0geqcxnK1bBDsouTdkTRfvk9ZbSFuaC5f6q6lKCR+TUXWhnnn1iQhIVhXF+Gj0VkMWfaSha4Qi3i4xxir8htc0J6M5VtXIfMNZk26u6ppSgT41plB2hQPvxyJM5kt8p/vTtDm8+BVBI4EfCoN3VX8+rIEPl3jnSujJEcz7KyKkE2VeH1lPbUBDwIo2A7v355kR32UWyWLeKbA8tD8ImJlVYAzkzn2tyc4OTpLqmAx5TpUV/lpCXkJobAm/vh63umCydnRFMs2NLGsOkzWdhjLlPCoEAh6KJk2x6+M8dLyWlRFIV+y8Xk0Xuip5nTf9JyxBtjeVc2tiQxH+qeRUhKNeDg3mGJ1S4xcqUwKGxhNUbRdFEXguC7pbLlhSLpg4am0tSyWbD66Oobm9XLwB8f5xW/upaau/JydPddHc22AcNBLdXiM2W3Pc+DyOfRMiiQq3nWdNDeVxVm0ipdeUx3hrBYgUUpz+uwdNqxtxXIkNwdnuX53mg3rHl2C9Xnh1q0Rlrc96Kk3xV2ymTTBUJjk9BS1DQ1zhhogEosjpMRxHFRV5YMDJ/DWzbn+BKvbOXP1Fhs3J4lEYw8cfwllLBHMFuE08FdCiO8Bc6plUsrvPm7gUxlrIUQAKD5Jo+wlPB1CmspA3kLEyjnkexjOFml6DMHsXueqKkPDdF3eH03RikGToVNr2vy7o3dY0xRGSjAKDiUFdvbUEKkQqf70o0EiYv5R0ISg1fFyK1ek6yHSpGOmxbKmEELMK60JIagKeWh2BO8NTPNqWxWKEDgCVF3hYjJHwXHxa8+WhK83JYdvTBAJe9gVCpAwNGzLQVEEa8N+uvxlD7/ouHwS01jbEiNrOpiWy87WBMdyFpbrsq0pSsKrkzZtwoaGoSmE/QZXUwW+sbmZZN7i7SvjBKWCKyS9VUE6En7OzuTJKIKOZXG+WR+Z65N9ezbPjVSe7sijS+wuTmVZFfIzWxMirykEQh68brlUzmNoZE0bTZZVywByBQvbtAkaGvpD2rt21YToquR/D14d47Wuar519DbLWqLoqoJ0JXdGZhmfzuIiCPh0XAkn+mZ46bmVALz5ySDbtiyjvibMLldy4Pg5JnKShtoIy1riNDeWy8Fe3FbH6UsDTK9sBFnH+rjDymXzmtu2Nf86eOkrOzj+0WWuX7jFm0du0bF2Feu3bmZXb4Q3Dn/I63taURSFUsniyJlhNH+oLBdqZtn3WutnpgCWzxf55EwfjuNSUxMmmS7SULd4n1xREq+E/WcmJ6l7SEg7EAphFov4AgGm0zb++4JBgeoOzp4+y3Mv7P9M5v2zBwliyVgvQBBIA88v2CaAH89YCyEU4JeBvwtsBkqARwgxBfwI+H0p5a1nnPTPBC5nC6RtB4WyiMbygJfEM7C3NSGQeYuRvElDpcfzTMkiPVvC73u0vGkJSVXF8J6eybHVCKCIcjeqGl3jFTXI0EyJDZEAsypka7xzhhrAh4JUK5a3slCIKyoDxRJdD3EaHSnLpVVQ9jxcWenLLBjNmYxmixwfTxEwVJIlm8G8yT/Z1Mp4yeLkaBbTdhjLFFil6Ytalj4KLV4PqfEcHw/N8uW6KGfH03g1hWTeZEckQK5iMPqLJXZ01pGybIK6hiUlAV0lHPJwcyjN6uYoWqWXcsq00VUF05Uk4l4SAQ9nb8/QhEZXoNwO8pORDA0JH881x/hoMs22xsUeVEfUz8HpHN2Pmb8qy93Ozs/m2RosGwhNBVdVKRQtVODOdJ61jeVSpaCu4Kt4rJbzYBixZDmcuD2FEILbk1myJYt//EIPdkVHXRGCnoYIf3jgFptW1DOac8lJlYCmMDWb488O9JGojvLxh9cIBTSaOxp4cXsXh84M8Ny2zgdUwzb1fnoIuybu5/qtUXq66hFCsHbDMk5fG2fbV/ZgGAqTM1MMjUywest2zl45w8beBt47OcRLX96PWmkmUyiUeO+D87z84vrHXMnH41bfCHcHU+zctR5VVTl39jpnzg6zoqt2bjFgmjbjhSh1ngrDva2dmxfPs37r4lRAKjXLMn95IeZ5SDSolJuldvWTyaIuYQlSyt981rGP86wPAu8D/z1wSUrpAggh4sA+4H8XQnxPSvmnzzqBLzKuZAtEhMKK4HyI+nAqy66Y9qmdqB6FdT4f10cy3FDL4pgeW7LpMYYaFregcx0554ndW8/6FYWiXX7hj1g2a+/LYes+FdUsa3XfO9KAa9IefDjZrMHQOT2RoS3sxa8oZYYzcGEsjWM6/P2eBgKaWtbCVgSfTGb480vD+PwGLzTH0F3wNcR4r2+KtRgEn9Bg13sNzhYKHJhK09gUwfJo3OqfIZEuzNW+JzSNsdkCDdVBDEWQs1ykURaC2doU5dRElurWskwoAvxeDXSFdY1RxtJFIlmb+sqxhBBsigY4NpOlI/Lwft8l2+XyYIrk3RwgUQMaezrjBO4jJDoCrhdNakJebg7OsKy5HJatrgnzhx9cp70pxt/76jrePHyTV1fUYFkORcvhRN80vQ2LiWqO6/Lu5VFeWVWPripsbInx1xdHsKXEUBUMTaFou0RiQdataYH6Jv7eCxvRNIXRiTR/+b2P+Ue//XVQNPKFIgd+9BGeu2O0NCXQNQXXlagP8ebvQUrJxFQGv88gFPTSu7yBW3cmOHj4IoqioKmg+SPs27cao7JwdV2XN390irAiGJ9K07qsa85QA/h8Hry+AKZpzY15Vtzpn2bf81vnPq/fsJxMJsdbH/cTLBcTMFhaxqq9vzi3j8frBVWl79pVOpevQErJhU9OE6+pm7vvK5bVcnFwFk8gCkApn6U0eorZma30Xb9GZ89ylvAglsLg8xBC1AD/F2XPWgAHgH8upZx43NjHGesXpJQPNMaWUs5Qdtu/K4T4ua1/SNkOy4OLc8lbQ34uZfOsf0Zd4p6F/bWf8MraCzwvt/KOLbgunkre25WSrOuSsR2adZ2bMzk21s0bgN72MAdOTbAZL0IIph2botf9VElVIQRNJck7tyZZXhvCdl1ujGfZjs5I2MBQBCnpElFVVEWwtirIDy7N8D+ta8Kjq+TSJRQheLGzig+ujrM9/GRtBeOGhqsKduxtZ2VzFIB9W5r4w3eu01zR1Kj26Lx/fZLaSlcvw6Myli3hZC28VT4ShsbB/ik21EeQwI9uTbCucqwbY2nW+D1kCjYsMFZq5fIGFcFkzqQ6MH9d/ubsMHtc71y/abck+eD6FF/pXRxzXVMd5O2707xeEyKXM3n/2G1sKakLGAQUnV0rGsiXbF7e2cmJq6MIx+Hq7Wm+sbqe+H2ktzN3Z9jXXTPXnMRvaFQFyvnoeMDAtCVp26U6ojNaEPyjl+cZzbrH4Dd//UVOnrjG/u3dhDwB9r28nff+6m2UC/2YmucB8ZKF6Ls7xZ2JEk1tDQyO55k618f+La10tdfQVWm8USiYpER6kdFVFIXm5gQDV8aYTanEKkpzC+H3eykWzR/LWJdKJv7Ag7+9NWu7GbprsG5tmWR2Lrn9gX16N2xibHiI40ePAtC1ciWR2Hyue/+Lz6EdOsq1mzfJpJI01ofY989/G90wmBwd5sODH7Br3/MPHPfnGQKJshQGX4j/QNkJvtfD+p8C/x74hccNfKSxvt9QV9p7/RplrY0/l1JOP8yY/7zgYa80b6XJxU8Sy30eDk6l2RQN0BE0ODudp1U1cITAkpJTmTxOWuXIeAEn6BK3SjSEvNRXjEDJdWlJaNwplMAV1Pg19gUfXfZXr+vUOZLhOylUIdjq0UGDu7aFpQiqIl6ypg1AQRGs6azCAdQFEQdFCAzjybxqgP5cia7WOD2NEex7UQAh+Mqudo7/zTV2hQLMmjbFZJHvHrhJQ20QT02AQtEiIODCTJacgAFFcv7yMNsC/sqLpDynWMDDlZEk3f77GOGV/6+OBfhoZJZ42EtPIsCF8QzWVIlQcH6xoQhBuAjJkkWsos41UTS5WDKpaQrzn968yG/98iaqowECmoJjS4593E/CY5B3IBDU2buhpXwwlwcMNUDRcgl6Fxu0Ha0J3jgzxNe2tuL1aYS8Ot8/O0JH9+KQtqIo+P0edK2sECeBuqoQDgrnrgzx+ld3fur1N02bu9M2L7yybW6bbS/j4FtHeXHHfElWsWRRFQ9SyBfx+ec5D7ou6GwM0tVWxaELt6ivXxxynpmeJXzvuz8jdF2jWHyw2+D42DTV1VEApqfT9N28RmNLK977Ild1jU3UNTY9MP4e9jy3mz3PwdEDB1i1fb6VZ3V9I6VCgbHhoUeO/3mEWBJFWYgOKeXXFnz+XSHEE4XGn5YN/jvAR5RZbN8Hnq7x7M8YLCnnylPu4W7RpN7zkw02xHWN3VqAy+kiWcfhWqFASXNRgVtZk6a8jzrVQJcKbloypBS4o8xwSSuX19Q6go0BPzxlMEAIsUjZDMAoOowXLaJRL36PhqoIPp5K09YQQkpJwXTQKef386bDlbEsKVGgI+GnLfggmQ1gumQxnDfxqQqqR50L1Y/O5Lh8dQqnYHE5nadYcqjzGny5Ic7Z2RzBWQujWWdjbz1F1yUtJdURH/6+KXobY3z8wS2eD/i4dXeWW7en0dyyXntXpZ81wGDBJBacD4vvqomQLFmcu5vEpwgiiorpuBgLvFEfgpzlEPPonJ3Nkm0J82JvOyDYki7wB9/+hB3L6nEsh9TtaVqyJpm8iepf/NxYxYevg726QqZoEVpgsMM+nZiqcPrqOFrIwA2HcX1eHMue26dk2kjXxbJsyjKQ5e+YL5SICJv25gjtrdX3n24OZy4PsWP31kXbNE1F8y1+cGLRAKkbQ6hYZNMmCAXpOvRf7+PV7U0oikK13+Kjo2fYtmMttu1w7OgZurp/fCOnKAoKDul0bq7rlm3b3O4b4LUvbeB7b15HjXQSq0lw7eJ5FEVhzaYtT38i9cFFZlNHF7fOHF8y1kt4FGwhhLIgpXxPGOWxeBzB7C+A/1FK2VfZFAe+Xfn3v3zGyf7MYHXQx6F0ls1BP0FV5U6xxLjtUC00jkxmEBK8hsLGiP8BAZLPGooQrA76+CSV42uRKD5F4Vq+yMpCiJCikndddKW8XykL3c3G/CLjMyzg6/V6eePuNOM6qEDBo7B7WzOKAt9++wa/0JzAKwTZks2x2zPsxkNYUbk+nkcTgqYFnqSUkkOjs8QRNBo6d/JFzvWXeHVbK+OzBa4eG2Kj10vBUlhVFeNkKk97wIMiBBtjQW5lC5w4P0pdXYja2gANhsZszsS0XcJ+A63aD3lJV8jHvWpbK+rn45EU0naRAmqCHtYnFofpYx6dkGkzbQhyMR3FVsmYNn5FQRWCcdVlS4WgdiOk8w83z0tyBnw6X9/czIUf3WBHKIgqBK5u8M6bV9j5+kpEVsGxHf760A0CloXbEpuTob2HDa1x3rwwwvPLa3EoL7jO3J1hfUuchpgftdoHDXXYtsuPPr7DD986zd7dveiaQtCj8GffOswvvboR13VxpeTtv/mQWr9KZ2sVj8KnB4wewlav93Hk4Ck2be3F6zU4eeIiy+p9cwSvNT11ZHNFjr9/EFUR7O5twNv82QiMPLe3lw8/ukLJKq+5XMfm5RfXcuBoH+0bXsXn91NwgsSrqrnbd5Phu/00trY91Tmk82BBzOz01FIJ18OwFAZfiH/KPCOcyr//6ZMMfNxr+n8A/rUQYhT4X4D/A/ge4AX+X88y058lRHSN5+JhLmYLlNwSTR6DoCMpZSSrNR8IKJouByczPF/zYI7u84DpyMfKeX7eQakXVC+Xizavbm9FUxWyRYfvfHSHVXk4dm2CCdMhkHfocjTCFXJZj+Hh/HRukbH+wXiS9T4vQY+OdF3ahCA7meOP3rtBtaGx0+OlaDmk0iWqdI2dsSCnkzl21JTz8V1BHx1S8t33brByS1O5K5OqsLenzGxWHrKo1RWFPU2PfuFarsu0obBveQ13qoKcPjXKckNjqmBxR1rIiMZHYyl0VdCwqgZXwkJ721QV5K/jBopfxZss0e4IZqdzvPmtM7RUhzDzJi8FfVzPu3zn0gg7WmI0LSAFqopCU22Evxop0lkXxlZUrPZmptNJFqpva5rCV3d3Mjqd44ffeh9HUcmns5RSGQ59P40v6CefTLGhSufNgQLhliL3VTctwsbeJj48ep79L26e2+Y4DnYh98C+yclZlKFRjvVdZyZrEauKsOf1zYv2CQa87Nnc9qnnc12Xox+cwkklEUhsw8+el7fjeUx7WiEEu3etemB71vTR7F9MrmztXMbpj44+tbGurq5i9G4/9ZVxruty89xpXnrty091nJ99LDXyWAgp5QkhRFwIsVBU/18IIcaApJQy9WljH5ezvg38qhBiF/AtyuVary3VWc9DFYJ1ofkXwPVkkfX6/GevohC3NMZK5mfWA/tR8GkKQyUTv6LQ7fPwlpFjhTUfpnSlxBvkoczmzwp+VaF3tMQ7b1xDD+pYGYu9rkKspjyPI0NJeoXngadPWfCbHilZ6Ak/9fp8aDxvOKyxJB+dmWHYr5CqDaM4EkMCetn43v+tFCF41ePnbt5h9/py1ykhBLbjUprOQ0UE4066wHDJQtcULMfFg2DzQ7TCAa7MFtiwqpqs7VAT8/HS8+1cGprl6M0JtgQCbKkJMVW0+P5wkmVu2VC7sszwR8BUtsiX9nayur2aTN7kewdu0I6frWhkLIdwRct9k0fjpCq5lizMGeubo2n67ya57ap8+dd209I0n/f94L1zuG65DOweXFfygzfPs70rQXttCKcxyp0ZnY9vjlETD5GIBejDyz/6rRe5cXuCvjsTdLbX4DguRw5fgkIeCQSq4mzd2k1zTOW9tz6mfVkL6VSW8cFR9m9ZnGeemEojp6d4fm156SClZHIqwx/+/96grjrMlb4JGutj2EJhz3NrqKoOc+LSFGrURroOAa9g+7ZuDr51jC31OsGW8hLCcVze/t4BvvzLrzz0vjwO0n3QaMhn5JesWL2G65cvc/nEhyiKipAOe59/4XP9XS3hiw8hxJ8BO4CFOtJdQC/w74Df+7SxjwuDx4BfBSzgm8BXgXeEEL8jpfzBjznvLySklORcF18l5Hn/34T74I+1UdMZKH7+xnrWtsmoIOMaqlA4kynRElU4NpOi1fUxIyyskMsLDc/GVH8U7hZKDOctgrpCb8iHT1XYIBXISEBbxMbzeTRyOYeAqs7l/F0pQV8gBuNTqAp4IDP/gvUZKkW90ka0CIZdVmwrVOQMS66LeEjJXEBT0W8keb9gsbynhpl0gYGb0+zSy/cjbdpMug772sqG78Z0luuTOd4emOKVlgdDwx5NMJm3WFY9Hx7f1pHgxkCSbTVhEHAlXeCfrKjnu5NZzt5Nsr613PWsZLu8dXmM3/7KaoQQeCJeXtvdydE3r2L6FbzG4p+ksFwSVX7SBYvDF0bwTRTpCPpoE3Dh997nQFcNe55fTUdLFW3dTYyeu0JL7fxi8d33r9AT87GqMTq3rT3m50bIy9d/efciEZKV3fUcPDNIZ3sNb//wBM93hjFNH7gu48kp/uD3b/Hc8xt4YXMjI2PTVMe9bGhbrPWdzhT4wQ9O8srK+euWTufLgjlxH2Yhz3/7tV4yRZtQNMjbxy8ypFTx6//4VxFGeeE0PT3L0Q8vo+ZTBAPzbT1VVaErrjE0NEFT09PXNtdEbZJTU8Sq5ud27cJ52roeVyX/cPSsWkUPD3rwS1iMJc96EVZLKRdJ+QkhzkgpNzxu4OPC4N+nTDX3A38ipfyqEOI7wH8rhPgtKeXrzzrjLyKupAvcnrLQTQVLdYlGFHbVzL+whRCgPLhSv2ubdEQ+f6/6UsnkhYYYstIFqy3s5QeD0/xKdaSsZqMoRCph54GSyajroCkCx3JZ5/c+Ugv8UTgwkSZmanRpXtJFhzfTaXbVBLieL7NyHQkdfoN2yszbjVVB/nxmHF9B4hMKFjCExW+snA/CKppCfWeckVNj1OtaWWMYuFwsUo1OVFX5YDzD9uoAPk9ZuezD2Sz766MPneMyXac4XOCd0+eIGioeXeWoJtjdHOfSbI7dbQls1+WHl8bolio7PDpXMnneujnBK13VizwmnxCcH0wuMtazJYu4qpIToNhlLXIhBJtMySc3Jrk9nUMAZ+9O8y++vnbR8RqqAswqYLoSfYGnZzou0x6YnMgz6DUYc1XWxQL4VRXHlWwOBjk5mcZKznBsfBYVwXLfYpLaWP80L2xpXrQtqCpU+XVm00Xi99Xcq4pgeDRJe1DBshx8uoKmaoT8BgPJAiN3hqmrjdBY/2Cq4MOjl9DSKV7tjjA9leLc9VFe2t6FUpHBvTM8yz94ZQWKIvBq5eO/tKmVPzw6vuh6JBJRzuVd4g8pFKiO+BmaSj2Tsd65tYP3Dx9l4GYE19tKOjVLLFFFVe1SG87PCwJQltjgC/HWQ7a99yQDH2esE8B3KJdq/WMAKWUB+J+FED9X7WamTIvBUYce/OUn0IXMjMNpLc+m+PwLryFk0Jcp0alXZAwdm4LuPpOq2dMgbTvUVOp/BYJAha26qSqEWXCoWXD+vmIJNaizN1LOo1uu5P2hGZ7zP1z441G4mStSZ+pUaeXjh1WVDa6PH4zP8s2aKHrleBfzRfRciaaAB1tKYqj0Br24btmzXq1Izk/n2FEXIWXa3BlKkS1apCyLY5ks7V4vOY8gqQMxQbpoo6HwUS5PraOjqQrP10fnZEAfho8n07ycCGNoCkIpt6480D9NOGSgCMHROzNs0Qw8lWO0eA0aJZwZTy+qS58q2WysDvDepVFStkO+ZGMIwUTJYodPQ3E17NlyHrfW0PmKIhgfzTFdsOjUNWqii8uFbo+maasP8r3r02zzeVlWHWK2ZHOoVGT52k5WddSQK9nENilcuT5B/4m7rEgEkUCkYFMd9TE9MMto/wSbWhcLqCT8BkMTGRzH5Ub/NJqU2BIuTudZ+8JijyeXL6HrGiMjM6ysDuBYNpo6/9x4FNiyupHjF/rZs3PForF9d8apdfJ0LavCdlyChkpXXZgPzw6wqbuGTN7EY6hz3b4URWC7LpqmEn2I7L3X5yWXefD1dGlglu1f3fzggCfEC3u7cByHj4fbCQRDS2Hrzx0Sljzrhfh39+WroRz+RghRL6Uc/bSBjzPW/wp4m3Kp6SL296MO+rOISzNF2qV3EfE1JFRuZ0qLuvn1BL2MaiaXsgUEEPdr7Ak9tlXpEyPvuFzOFIjqKl1+z9zL5mleOdO47FmgZa0rgs01YW5O5ej2Pbx86tMwXrDo1u4zPrbJvmhwzlADrPZ7+SRZJpCdnc6yRvc+0EmsL1vElZITk2lejgQwS+Dz+5n1u9yo8iLTRZZ5DdbUPH0YP287hFVlkbKcpgjiKAQ0lZvJPFbRwqOUFzxSlv8Layp9eXPRsZZH/FzPFGnwGdR7dVZ0hlGAiVyJI/0zvNJcRcGRFGwXS0p8qkqj38OV6RwbY35OXBljy4pahBAksyXeO3GHl9fU8+KmZo5fHef3L44RifvQq3ys7Kgm6FEpORLLlaxZXscPL42wgvI9n0GC7dAS9aA/JKpjJIKMDyWZnszycoVYV7QdagIevvfd4+zZv4bujhpu9U9y4+ogX/qF3WRzJS4dPcOK2sXXuYSCrqu4zoMv38Hbo+xtjuC6kkLRxnTBdh1m03kOnB8m4DVob4qTyZuE/AYF0yEU8+O6Lnen8g8czzaLdK1dyYFPzrNrVR2apnD62jjB5tYfW+FMVVWCoZ8M4XMJS7gPD0sfC2A15dLoX/q0gY8jmH2XJxAY/3nBQ1fh8sFt9V6D+ifsC/00OJfKk8o6LNe9zBYc3k6Vw80hTSOkqZzP5SGy+AU7mCmy8z4GrP4Qec8qr8419+nDVaoQ2FKiLbg2JeESfAgj/R6BzHIkhnjw70LCpdk8G0N+HCCqqtglh6Arsa9N8dWV9RycKT31HKG8yAk8xOsOqQohQ2M4VWAkb7IuYGC6LkXLJaSXc+r33+KArmLO2pzLlfjmyjKJKm05RCJ+di1T+as703g9Kn95c4zOiB9VgZIt2VQVJObRKSiCg8fuoGkKrmmztilCa1U5pL59ZR3bV9bxwflhdJ+XSKWWWjourqHhOi6qR0MCkyULpTlCTFcYmcnQGHlwobV3/3J+/w+P8M2mCKlMEVuCqqusaooxNZrBX8xy5INRWmuCvLq5BaEohEM+rFCEG8PTbOisAiQnb07R0FLNxZsT9HQ3PnAeKQRF08a0BcFQiKAQFIolZt1p9u3bwJVPbrCmMcSPTvWzp7eeWDyIbTv8xaFbLF/ZxvmzV1mzeS2FQoljH55ifW89jY0JGptrOX3iErZps+a5XcRi5YVvMpnl3IW7AKzpbSaRWDK+P5UQIJZKt+YgpVzziL99qqGGxxPM/gD4HSnlpYf8LQD8HaAkpfyzJ5zrFxadEYO+2RKNYj5mV5Qu/sBPJoyWsmyyWZdVhg8kVGkaCalyaibP/kpZWK/H4IORJPVBD4qAkWyJ5fqDiwbLfpDMP5w3qXpMydfDsC7q58holvXa/IIga7sUXJcQixcFTuXwK2N+LqbTrDTmjYsrJXgEOdsmZOjkK8xdTQg0VRB6hrktRMLQuGLlWHbf9iHL4vlAlKagF58QnB3NsirgI6Qp3CmUOJ8vsGdZFUO5InctB00TqJZLCkl10CBrOQgB4bAXEMT8HsySgzNVpFHX6Al5qamUo0kpuZYpUBxPE9BUNjRGuDCcoushrUgDfgOnZM95ooYCjitJKYKLyRxmzEesO8Gu3nryJYu7t6dY0Zl44DiKIgjXhPEEvRiaQsSjz4VhFClpqgnT9JCywl27e7l2Y4Tff/cT4kEP2za2MTydRw0EqK97cL69azs49O5pXt7SMbctXXTwNLYRjQZ55avbuXhlkOiyFt64mcSnZijakq99fSd1NRHGp2Y5fvRDPIbGy/uXo1fkW71eg517F3NvLl4aYCYNW3ftQgjBJ6cuEhyaYd3atk+9/0v428MSwWweQggP8M+YFxT7EPi3UsrHeiGPC4P/W+D/KYRYDVwCJinXWC8DwsB/BH7mDTVAs8/DaJXNzWSeGttgVrGxQy4vfUp5z2eNs6k8LRhkzfKDL4UkoKkIe36xENU0dmkaSdPGBdr9D2/b2CBUTk1m2FQVRAhB2nS4PJlhT/Dpw8s+VWFttZdLyQLYIFXojBtcKpXYqat4FAUpJWfzRbobykYh7tEJxQwuzhTp0Q1mHId+YbO/KUradriVLdHiMyi57lz+2FEVJvIm/qf43Q8VTYZxEFpZ8cujCY4ls2yOBRAIzqTztFYF5gRr1lSFuCoEJ8azTAvJ7vY4L+tx3hudoSgE/3hbGx5NZSpv8sGNCUKKStSrk7YdpCwvgvoGk7SMlegQOoYUnLg+zd5V1YQMjQOZPJvW19PUFCVTsHjz8hhrGsL0T+ZY07p4UVUo2uxuifPukRusWd9CU02IM7enOHZxhHWbWhibyhDSFU5dG+XM2UG21If4uG+Kja0x7iUlbgzOMJQssn1nD1M3hqhRFEq2g0dXcV2J8xilveXdDSzvbmBkNMnYRIp1W9rw+x8eMapOhJgJNfDBrQxep0jJVfE0tfGNX93CiffeZc+Wdtb2trK29/50XRm1VWHqVj6+37XrugyP53lu/7ws6qYtazh88Biu635mLTaX8FlhSRv8Pvwe5bTy71Y+/1pl22MlRx8XBj8H/JIQIghsAuqBAnBVSnn9x5jwFxJbqgKU4i53CyadhpeY/hlKfz0Gd7Im7ZpnQZ5XkrMdpHgwdP24eTV5DPyWzZGhJJoQGC7sCjy6H/OjUOcxqKszuDBbYCRlM1i0CQVVLhVLSMpPZk/AQ73f4GIySypvI1RBZ6OPdwbS+KTKiloffk0loGvczhRRSxZ1UicjbU7nigSDHq4Mp9gcebIFxVTJYjagsqU2hiLLamrHhpLkpnJctSwUQ6G6ys+0dDk2mabN76Eh4GFFIsik7fC19gSfTGcp+VX+bzvaOXxzkr86MUDWdgjFfdRWB7g7luHdO5Psa4mTmskxmMxz9uIkvY7G2WIWQTlFcODONJ31YXZubcLr0ZnNlhDAnp4aTvZNIYWgszZEwKvhupK3zg2RSZc4Yjr0VofI9Y3yJ0eu44R8/FffWMel21P4/AaqqnDl5hjbW6Osq49QslzevTLGc+FmwlIyMF3ghR3lWMKBgSmKuQJNfo10yebkZI4XXpovO7Jsh1PXJ3CGS4Bg07r2OcPcUB+j4SHs7/tRU5/guRd2Yts2qlpmww8NTVBb9dmVCk5OpqhvaHhge1t7GwMDk7S1LTG7l/BTjU33hcIPCSEuPMnAJ7I2UsoscOgZJvYzB4+i0B14OhLWj4uC49KmerhgFtnivffiE5QcF9vzbGURcV1j61MuNu4WSoyVLJq8Bo335eSPT+awxlSaKn5dIeMwkyjxcuN8iPXdwRmWS40WTadourx9PUlTxk9C1Zmdtvl+zQxfX55gZ02EoXyJy9kiQsCaiI8aj4HnKULhtyyLrbVV+BD3ZL7Z1BDlD+8kCU2XmDYkX13XyLKID1VT6JvJkUrlWRHxY+gKGdNhVhfsrA3x7sVR9kQCaE1+irZD2nWZ9Wps39nOofPD/MWlESIODI5keFkP8H46zQavj4SugYDj0wWGa2yWGxq6RyWoq2WOrCsZnsnx97Z38PH1SRwFrg7P8o2NLVRVurmdG0ji11RaIj7c6jBX707jDfrYv7KJfMFi2/I6Pjx1BykgFvKwa1k1h86NsD4UpaNlPiy+f/8qxiYzvHP0Go3xAK+/3jXnhVq2w1tnhnlxXy/+SADbdnjvwyvs2NJNJPLkizifKDIxMUNNTZlx6bouF0+f4yt7H+5NPwvCYT/X+sYf2D41Nc3qnnkmfKFQ4vixCyiug+3CitVdNDQ8Wk51CZ8Xlkq3FsASQnRLKW8ACCF6KOuYPBY/OddwCc8MW5YJWZ2GzuliDl0IHCDrOmytWszEztg255NFpIS1MS/hz8D7d6Xk4HSaDt1gvcfL3aLJoVyRvfHQnKDJ+IxDJ/P5fJ9QsZMKyRqbmK5xM1+k01WJVuZTslxeCoY5WMyRcHVCQsOahOt1BXqiPpr8Hpr8D6npeULomgA5b6hzjotPKDR7DKxCkTUd1XSF/WhCYNmSrniA44MzACRNm3dGkry6oYmJTJFlho6vMu+85ZAwNPpGc4jGKE21IazJApuDfvLeAh9YBeItQQaFYCBn05yHNT4fb4yl2SsluiJwHRehlsVdxify/O63zqELgRLUeWHbvKEGWNcS48CVMVbVR7hkOnzvo9u8tqsb15XYtoNHFTy3pYPD719ib1uMaMBDLm8T8nu4m1zcfcrn1bF8fpxYlCO305iZPM/11nLq+jgv7uvFVyGzaZrKK3t7OHjiDvt3r3zstc7mipw4fg3NtvngL/8Ko6qBmroq7GKGF7c86AX/OPD5PBRys+TzBfz+ysKwUCSdnCIcLp/LNC3+4Pe+R++KJqSiYObyfHTgJAU1zkv7e6ir/ez0uwv5PFfPnEbXVSzLpq61nYbmH69z2E8apXzyczu2YIlgdh/+a8rCYoOUVzFtzLfLfCSWjPUXACFNJa869CgeahYY30/sPM0L+l9fSxe5NmTSbvsQwKHJAh1NGr0R30OO+uQ4nc6z2eebC8G3egxijsr5TIF1YT9FV6JZ5dy0hURFoApB3NUZLVrEdI1p06bVN++lycrv16sLqFAr4mgMz5boif548wUQpkvBdvAvuF6W6zKczNPj9bCiNohCeSGiC0Hekfg9GqbjMO26GAhSBYs7M3l2hH1zRl+p1GdjOfiEQEoYTxbwBwM4XpXa+iC99WE8msq1sTTn7s5S7Ur+Tls1hy6N8c1tZS/TdVz+y7s3+KWaCF5X4FcEx8dSvHfoNp3fXIuiCBxXoioCXVOYLNgUhMY//PomNFXwo49u0VgdZF1rAkWAsiDqYNoOsbCX41fHWN1dN9ef+sPLo3zttU1EKosB23Y48P5ZvLoyZ6jnrp8QaA9Rg7sftu1w4M1TvLahodxwpDvOmb4p4rEY7W1tP8YdfDiklNRUh/nLP3+TaDRIVVUQTXF4+YXeuX3+9E/e5Tf+3ouEQj5cR+K4kh+9eQrUGAcue1g2MoDe9mA/66eF4zic/fAQL7366lyU4uK5cwz3OzS2PT7//rcNKV1mhs7hDX56p7XP4CxLBLMFkFIeEUJ0Az2VTTeklOajxtzDU7ExhBDPnthcwo+FNXEvp+0cE47FjGPziZ1nRXy+zlpKybUxky7HjyoEihB0uD5ujlkVXepnh+O4D9REh9WyahiATxEkDQfTp+KJeZEhnZwCk6pJayXv6VMUsgs7FVXsgOXMz60gHcJ+DduVlB5Sy/s0WBvy850Lw4znyr+D6YLFD86MUCUV6lWV/mThvhHl9p1Fx2VDWxxVUzh5Z4qO6gCXZ3NISdlIA35DI2nZaEIwPZGjOeTBdFzcgM5XexvojAdoDvt4sbuW2oYQWQ/4NZWBsTT/8dAt/uRoH3/2wQ3WGwYBVcWrCIQQbK2LEi1Ijl+fIOuCqWtkXRhIFpjxevnq3h4MBaIhH6/t7mZkIsNs3mR8OkekQry/MDyLx19eoOxf38TBYzc4dKKP77x9gbqGKsKB+fSFpqkE42Fs08Z+SIWA/QSlfKdO3+L53ppFncE2dFZx+9rAov0Gh2c4cOwWR071c+DjPi5cHX7sse+H67p8+42rKPEdfOXX/u9s2PvLTCUVtm7qnDOWrusSiwYJhcpVEy6gahrLlzdTTE/R2buBK4MKpWIRy3qi6OOn4tr5s+x+7rlFpLbV69YxPjzwiFE/PUiNXSNav4pArPnxOy/hM4EQ4tcpS3hvrPz3K5Vtj8UTedZCiB3AH1Ju59UihFgL/GMp5T97tikv4X5MmTa3XQtDV7Ecl2qp0LZAS7zWY/Byg86dQglbwov+0KK2mzO2g6+ozhlBU7oMVUn8NSGO6g4dRWjWniyQ4krJyXwB3aOhKDBg26yVoIkH9wPIOC71O6rIXDEJ2Qq6qpD3SNIe5pTUVod8HEzn2Kn4UITAayhcShbwW+VSIldK+oIlOrx+LmGh6wrJTIF0pkTMoyMlGEKwMRp4ItWpiaJJsyP44cm7FFzJWK7EL4diTBgGSdvh6tgss2Edabu0qipp28GwJQFNI1uwWNkY4crgLIfuTOOWHHQpaAx48OoKJybTeGMe/urUXbRkiW21Yd6+M01jawRFUK5lBhCwrinKH/XPUOuFf/jlFWiGSqFo8+dvXqe+LoRtOaiKQlFXUQwNtyrA+akiOzaUF2Lnp3KY8TC9lXruiEcjlSng9xkE/R7u3JnmnUNX6a7yMp0rkTQdpN/P4bODOI7Lzt4GfF6dGwMzBKvDD1w7TddY0x7ng6PXeOm5lXPiOsc+6WfFsseHsM1CEX/tgxUR2gJvKpMt0jecZv++tXPbbvdPcPn6KKt6nlwI8cTpflZve51QuHy+YCjIrpd/kSMff4cvvVDW97ZtB3/AW041CIGo1PNXV0eZyQwxO53k+mCekcJHaJqKMEvsfm4vHu/T81Ass0ggGHxgu/GEv7O/fUhU7dlTTU+KpTD4Imxc8G8P8DxwHvjjxw180qfq/wu8DLwBIKU8L4TY85STXMKnIOc49KsO+5rnCUFXZ/PcTZVoXRDmFkLQ4X/4SyWgKpRUF9yy4RvpUfnVFzooKRLDEFwcSHL4zBh7n4D1fTJfYFtTFF9FPKXe7+HicIb1C859tVCio1I/3GdIfu3lLgY25jh/fgrpSFYsryY6mIL+sjqVIgT7WmKcnshUekULSOigS4bsEp6AQmvCxws9NeiVsG3Gdviwf5odwbKBTpk2J5JZtsUfXS6Xtx2uT+bYHvZD0I8r4WquwNFUnh3eAOeadH59XxeqJnBVwYFLY9y8PI7uUbFVwWi+RH1DmH0d1VxMZtm/vY2+iQxXxnMUSi6fzGbZavnYmgiT07wcG5vly53VfFgo4Mqyvva9YMZs0SJaF+DLO1rL7HBAGhpdPVXcupthVchP0W8QqaQqEm3V7HhtPf/l/XO0VAVp62hgY6PNSDKPoWuISq7atF2mRmapTmf5R+1V/Kh/irQr2bp9Oau6qsHQcV3Jjz68wZd3dtLVFOPAlQEaalfPXafJqQwnjl8nsamZbR1RDh64iF6VwHYlK5Y1PLSe+n4EoyGS6SKx8OLn0hLzNfZnLw2xZ/fqRX/vaKvhwKHRp2qDkcqpNIcX33tFUXDV+W2GoSMUhUzOJBQs9xQXwAeHL7Fy92ucPHmO1btfxusPIRSl3Ibz0GFeeOXlp5hJGb5AmOTMNLH44vp20/zxPPafFJ6149jTQvyEzvNFgJTyny/8XKm0+vaTjH3iJaCUcvC+VflSm8zPCFdLJrva4ou2rYj6OZQq8KQ8Wq+iYEQkpRmXca/Dq7u7cBQwPIKQprKjs4q/GU1zfDjHttCjS2l0rzZnqAFagh5uh/O8O5MhoWnYEhr9+nwXMSlxpaStJkjbi/OexvDd2UXHDegaexsfJPdkbYe87TCgyzlDbUuJoShsaYpxfTDF8rCfiFHu3uVKuSiqcD/Oz2TZHKrkvSUUHZc2r4ebpsn7HpN/8sIK1EqtMbbkS8vrGRvL8np3DR6PRkvB5K/PDLFpcyubE2HePz1EIORB9WrcHkjy9+sTxCo1yhGPxp6GGFdmsjiuQ9q08GkqihCkTZszI7O0NYSZKtoEdRVNEUgB29fU83s3k1RrCvXh8lwvpQvEt3SxrKOavo46hGmSKdmsW1HPv/+zj2nbvwKfoiAUBdV10SZSdNSFywuhphiHbIdVbYl50RNFsGVVI1f7p1nZXkVrSOWDw5dobKrm6IeX6QwIfmt3C2PJPEdPjfPy7m6Mzq5HPhv5vMnpC3cBQVXcz7o1rfzwb46zvydB0G/gupJDl8ZYvWM+h4wQD61/VtUHlfQcx+Hm9SEisSD19YuN4PjQAPlD79LY0U1jS9vcdmkvJtJ1L2vixJlbbFzXiW07fHSyn1xwNYYDieYuVGEhKvNRFAVpeLFME914OtXB7t7VfPTuW+x5bi/BUAjXdfnoyGFaulc8fvBPAXRviGJ28nPPWc8RVJbwMFhAx2P34smN9WAlFC6FEDrwL4Crzzi5JdwHofBAu00o5xSfBi81hjiiZZlUwB9QcVVJZEFILhLyoPhMpi27XFb0KVjIK/pkKkO+aFOtqGQNFb+usja42DvvsVXeOzPMznUNcM+ztB2s4Szw6d/BdF0+ns1SFfQQMBQytoPpSowKiUtXFQxVwVywMvepKiVX4lPnJ+lIyaVUHltKVkf8SHf+euYcF6+qoCmCJp+HZQ0BDK1sNC1b4hMqeSFZ1RajWjfIuS51QS8rmiKMpoq0RXy83Di/kLpZmp4z1PcQ0FUsV/JcVZgTN6fwBQxM6ZI3HV7vqOGaY1HlN0gVLYRUwG8QCvnZ9Y3tfOfIVTbqKkUJ3c+vor29htlUgdHBaWpvj9Nvu7z3bQfVI/jo7UsYiQDTmSLhdJHnQl5SeZNYwIMiBMpDnpeaeIDr/ZPMpAqk0nkunR7h8skB9q5N0N4QwXYdWmtCNMT9fHjmLvsrxvrqlQFGrvbj5ouMJXMoAT9GOEiwOs6Le3vRNJWRsSQffHiD17+2nZOnblEaS+MqCpv2rScSnn9GqmI+RkaTi2q1XdfFsRd7oJdOXWX06El6fIIJ0+W0EeSF33gdXdd4868/YE9XiEh4guHRYY5dDrD9lW9y48p5VnQuXny2tdfT0FjFJ6dvUDIthO7BrxW4c+4Qoc5dRMNe8gtcDUXVcB/S6/pxEEKw48VXuHjuDLZZxHEk3WvWf2F0x4PxVtKTtyikxv62p/JzAyHEG8y3clCBlcC3nmTskxrrf0JZZLwRGAbeBX776aa5hE+D1xUkSzYxz/ztcKXENJ2n4usrQvBcXYg+yyRfNImEFuejihmT9UEvpyezjzTWhVL5TXY9lSfuQm/IT8526DIMhkomfYUSnb75Y/fnStx+Z4TMaInmrggzMyUuXR3jVz2+R3YYOZnKsb81Mcc6HptKY0oXHRWPqlBwXD4ZmWV9aJ4dnrUcfAuYz8OFEn0Fk81VIXRFcHoqQ1a6TJk2VUZZQ1tTKv2yVYGnJDFNG0tX8EmBRKLpAitvIwOgSlAV2N4a5y+O9/OLKxrw6SoBTeHo3Rn895GuXCk5N53hTq5IwFDZkwhRclw+ms3y+rKyQEc67XC5f4ZlzVFcx8XweXj/+gxFy+VXN9WTrathVU89uYKJApi5EomJNDtiQaSU7HJd/v31UfZ11JIcTXFyZJa9y2oQQpArWRQNhwszWWqby4sKKSX5goUErt+ZYGK2wK3RFIZQWVkbZGxgmt5YI+l8CTXkw3JsdE1FVAiAA4OTFG/cYU9TiFxaEGwLcXkoxQ3LZMfGDu5R4xvqYhSLFv2D02zb2k0qXeDc5SHOXh6mu72ahkoYfcWyet7/8AbZXJHurnomp9J8fOIaL+6cF3/N500mDx/nuaayoasHlruSg99+H29DNS9vbMAwNEzLoalaxavN8Maf/C4v7F9OZ8eDQiiGobN9x+Igu+s28PvfvQYdiwlVTjH7TDlrKHvmqzZseqaxPw0IVz86kvKZYMmzXoj/Y8G/beCulPKJ2JZPKooyBfzdZ5jYEp4AK30ejgzPsrE+Qq1PJ2s5HBmZZbPn2cgfnbrBsVPDbN3eTCBUDvcevTpGU97hrunS8JiuRcs1nfcGZ0DA7lCAnO0g3HIEoNlrcCKZW2Ss7yYt1lh+CqcynD47hVdX8RVshptUmh9RK20YyqLyoHVhP0f6p2mN+anxGXw0mEQUHLRab5n0NpWh/r659xVK7Fvgse2sjXB4NMm1gkmb6xLTNNK2w+l8gX3NMbyayoGPB9ixrRlN0ZBS8saJQfZUGkFIynrktoRlAQ99wykyrstotshrjXEy1SrnpjKsqwphOi4Hx2dZXx9hU1OMtGnz7mCSfbVhor75kGpn2EffcJaDQykmihaxDd0Y4TCvhFx8hsaJO6OcyBTYtKaZK3cnOfXORV6Xsty0QxWoqsq6kJ/BmRy1QmFTVYi3b03QGPHhuHClf4r921oQqsKPPrzJzh3LiEQD3B1L8f75Uf7pV9ciHAefFKht1bxx5Dq5okXIq1N0JEXHxbIcJlMFXNfl5oV+9jVFSKdy+A0FpKS3Mcz1UZeAoZLPFwmH/OTzJaoiPv7yPx/FG/DSsrqLPXtWI6XkW3/8AcpUkuqqEP7mGl7YvYLB4SRHDp8nFvHx+vMrF5Hdzpy6wda6xR6yogj0mWlIBDGM8v0x9HKbzWjYYDg7A3aBw+8dxxcMsGnrqkfKjSqKwr51Pg6ceI9A204s02Tyzk22bn32lptLeAwkS5ooCyClPPKsYx/XyOPf8IhLfX+yfAnPBiEEe/w+bo1nuC4lBrDL531oaPxJsc1SePvNG4SrfAQkdDkKmqJwOZNjb+TRBK24rrFTU3lzJk3O8OBVBI4ot4wUgge8ZWnBjLQpNir8YnMdqhCMFUq8NzjFLz+FsEnE0NidCPNO3ySlgJf9AT/Tqs2x8TRCQG/YT3BBqDdnO4uiEffQEw2QMSwE8KOJFOurgnypvWouzx1Om1z5eJArqSK+aQdf3mVmt4e4T8dWyjKuPzg3RHXRxdVd9jbF+NiRhA2NsKHhSsmRkST92SJfX1FHWNdQFUHMq/NSRxUH+yZJAWtqw+iKwKMqdIZ9zIzMoluQMrxEVIHH0EjlTfqPD5K6eYmTlsNdzeL1njj+msicypmqCKIejb+5OcE/7KghqKlsqg7zrYFJ6hsj2H6NiN8g6je4OGVzYawA4yXqGxKsXFaLjUBRVHKui2G7vLS9iz/7/kl+c383ZsHkT9+5SGvAQ3PIy1/8b39J1rLYt28ZVqGEFi73HL85nmZstHxNT525i6370Q0P+VSKOmx8ET/ruxugUOT97x3jFc2CKi9+pcTszdscunaD57a20ewDzCxcmFz0YlEGR7AMFc1YfD/l5Ay2ZiLbFj9HUkouHfyItt3L2F0fJZ1N8YP/z1H29VQR9H36YrQb6IpI/sbdgO432Pjal5Z6Wn+u+Mn0sxZCRClXLPVWTvqbwHXKIeY2oB/4JSllUpRv+O8ArwJ54DeklGcqx/l14H+sHPZfSykfy9L+SeFxnvXpn8gsloAQgmVP2Uv6UVCE4NVQkKszRa66JtN+A92rEqz2058zaXtIN67759PmNcr5bUNHV6DgukwULSL3EYOEDkmvy6sL5C0TPp29rXEGpotE1HJO9/5qzpLpzgl/3MOJsRT7qyMY9xp4uBKvVOiOeAncl5PVFYHpPLiWzFgOAU2h1mtgqILbhRKWKzEUuDibx6OqbImH2BwJcMCc5tpsnqnjg5xu9OPxaYRtyXO6l0RIx3QlR4dnURfUrTUHvTQHvehTaeIPaYYxa7msivi4OpFhdW2IrOUwmSsxnSpSu7eHpmqD41cn2R2J84O/vkr7HZNWPCga9ORN3j0/yaYXIxX1J0HBtDk5ncUwbd66OUFGF7Qtr+a3vrEWv1cjJyUfXRrl+Y4qEs217Ny+HHSd4dEkju0SjwXKJWICigULK10gZAneOXaX9/sm+B9e6iEc8ICEtY7DG58McOLmBB01Ia6PZRgquqzoqmVzIMfv/9G77PmF1+jpaUUIwfR0mmMlm7t9N6jpG6GqMUF4ZpZgXRjbVijm8sQDBgzlMC0HQ384h2Hj8loOHb7F/s55SdCS5SB9Ok1BjRt3Juhur5n724HjfTy3sZWW+igA4aCHL+9bwcEPr7N/1aP1wRVF0Nmz/JH7LOELh98B3pZS/qIQwgD8wP8D+EBK+b8JIf4l8C+B/w74EuVmVMuArZQbaWwVQsSBf0W5D4YEPhFCvCGl/Pwk3p4Cj2vk8ccAQohvSikX0cuFEN/8PCe2hM8GGUPw62taMRbkeQ/3T1NMPyh0cj9UIbhZKjFtOzR6dYZLFtO2TYu62EC1xQxGlHmj6SJxFaj36/zx9Uk6NZ2gqnC1WGJlbYimSsnX5nCA9+9OUxfyEDI0+lMF6lUNQ1FwpORvrs2gTwliUuNtLUl1s86e5nn9Z0NRyJkOpuvOGXdXSu5mCuyrKu/X6PNQZeicn8piSUlPyEtdzE/WcshYNi91V7G3M85fDU7j2i7rXI2IVyNkqDiuxKcq5Eo2HQ/pSObcl7+2XUm6aJHOlhi2JA0xHx/fmmK0aNIV8OKPBdiyvpXL/RMExqb4NzfuEuvLgvAiFUGqaKGpKu2Oh/9ya4wXayIIBKdms8QjHr6aqOGHtyZo7akmVBXk9ESurBgnXXra4tydzmEq81GTG3fGCcfDFEsWmqrgSvD6dH74/mW2RoN8dzBJb1OESOV+ZIsWAslX1jfzJxdHOT+cobUlwb4tHRRtl03VYdpbajh+9jI1NQls2yERNHj19Z188BeTBIopTp6YYp23/FqxLAe9QgSM6SrpvEnVp6jpGbpK14paDt6cJKoK0iUH01B5aWcHqqpwcWCKAwNTaB4du2QxPZnm+fXrFh1DCIH2mBTPEv4W8AzkvaeBECIC7AF+A6CiCGYKIb4KPFfZ7Y8p97f474CvAv9FlmvXjgshokKI+sq+70kpZyrHfQ94BfiLz/ULPCGelL703/NgLdjDti3hpwy+sLHIUANsb45x5Owo6x9Dqkm7Di/VRCk4LqNFk1URPz5V4dhketF+K8JexosFTNWlYDkYmiCqa3z7+iTPGwECQsVG4rpwaSyN1hRhwBB4Yh6C/iC5mSIRW7AjNC94cmggRcOkji4UENDmeBnrt7gTLdIemp/39niQj8fSaKpAACXHZWt0sVCFR1XYFC9vc6TkaCFPVUuURDjEieE08ZLFzqoQR6bSxAM6tiNJFi0MRcGVZbnK5dEH69O7gj5Oj6bYVB/BcSX5ks3lkTR7NC8JVePMeJZVrVG2xEOcmckgkXxyYYjI3Wm+HA1w3XE5nU6SMlQ8PgN/JAASPCmTbVubmSnYCAHf3NHE4Y8HEELwUkcV38mb/GJvA4mwH0R50fDDQ9fp0ATu+CSZTJFQXEdVFHbuXskP3zxNTdAg5DcYmsgwMpPnemMEzbXwujYApuWgKQKvUe781VYXRvEatDcnSBZsvH4PBVR0j4ZfJpElk5qYfy614DiS5uog1ycnuVNwaIhIzGIJn7fsSU9YNqtDj37eOhqjTOYspkxJQ12EVKrA6dvTbF1WzeqWxSV/R6wStu2iaYufbcdZqij9qcOPX2ddJYRYGOX9D1LK/7Dgczvl9s3/qSLY9QnliqVaKeVoZZ8x4F7IpREYXDB+qLLt07Z/JhBCeIFfpBx+X0HZ+x8FPgL+TEp55VHjH5ez/lLlwI1CiN9d8KcwZSbbEn7K8Vlk43yqQkfAiyMltwolkvaDtz5ouXwwNEOjV8eRkhnbppCyCHg9gEBDgCOpU1SOYfEPdnfPje2fyjF6bpz6BbnDbMohKhY/nnXo3JxcbKx1RWFX4sl7ip+2Sjy/txNvJTfaVRPio6vjdGZsfqkpwccDs+yoDmEKgW27KAr4jIeHbuv8BnbW5WD/FNMFi0DRJWZKEhXxmPVeL2fGs3QkAtT7DUIIPvykn6+3JnAcSY2mIRM64ZyCo6sYukYuW6TPLtJ1aoyUAp7GEJqqIH0ajlOuPY9HAtREA0gpkUJg6AoNDVGi6Tyr4z6OvXcMp7qOvuEZOlui7Nu9Ak1TyRdM2lfqhIIedq5rZvg7p5hJZsmXbBzHJVTJ9Z64O8P69a2MTmdxEFTVz+f7s7kSrhR4dA0hBBK4eX2A5RGYmpwlNz3LjWSOO8MTtFeHUCYtvKqguiW2SJL0YbgykKSupYatDdG5bQOjs1wZmGHlfcZ6U0eCgyf7eHHHPKP8+p0pGoJLnvVPFz6TOuspKeWjKPcasAH4r6SUJ4QQv0M55D0/CymlEA/pJ/wTghDiReB/Aj6gnFu/BRSBasqqZv+LEMKVUn5qxPpxnvUI5bz1VyivVu4hQ7l7yBJ+ypFPm1iui74g5H18MMmKJxCACCsq4yWLWo9On2mRqfKwYnU9/qzJidtJevOSgKoipaQgYH80WFbKEZA2bY66ReaXCxJTA1sRrF5eQw6JR5aZ121VAW6GtMWN4u57r9uupGg79OeK3M4VmTQEuqFgZ23W+TxzYfBPQ8qymS5ZqLVePPflvrf31HDg8G22R4PUhj384M4022MhsqbDJ+MZTCEoNbl41LKnfSNbFuFYFvAwnC5STJvMpApsiYWQHrDccnctIQRYDjfSeV6u5PON0SQTfgOPCx4BG7pCnLycpKYIHulyvZDihe44yyrNNmYmCpy4NsHuNfX86OgdVqs6tU1hZtJFAgEDXRVk8iYddREGJ1K0CMGe9gg0RNjbFf7/s/ffQXLm6X0n+Pm9Pn2W94Uy8N41Gmjve6ZnhmZIiqQkaqVghO52tTK3oVid7m4jNvZWG7fnJF1sSHE8UYaUKFIUSXFMz0xPT3sD2/AeKBRQKF+VVZXu9e/v/shEeQCFbnQ3ujs/EQhUvZmvyazM9/k97vvwlx9eoLOnjc39LYyPz3Hx8jC/+mzFwHU1p5i0dP7d6RF64xobm5Jcn3Mx6xOYmkJ3U4o/+mCQ/2Zj5/yfI2ZpHD97k7aNw/Rt6OLCmcvY1y/xdF/l/fKLRZ7e0sj2vk24XkDJ9nnv9C1+c9P950xPlHyeW2SoAbrbsrwzMM7y2V9xS2dHc5xfvH8J3TQI/IDWpMbWroc3UavGV4bbwG0p5ZHq7/+ZirEeF0K0SSlHq2Huierjw7CkhKazum2YhbD5ne3vPKRrvAg8KVfKxk0A54E/EEL03OsA98tZnwZOCyFallfFCSH+PpWkfo1HmD2qwc/OjtHWnCAbM7gxWaSuEGLdJ7c37HjknIDT+TJtCZPU+gxPb2pGAO0Ji+3NKX704SAHArjlemzJxDAXecahUCkqEikjhFDwNKirszjsFPlvNjahKIK5okey+tHVDHXeWEdSYsdCBqMypiLIFSPayyazhs/uphhzbTGeX9+EoQi8IOLHx4Z4TpirVvVGUvLmrRxxB+oUlVsTZY5m4jy+tXnFcwFmSwHrpnU+mcyTQGWPliCQkvcHZtjcmWQwrbPv2R4A/s2fnePJgqTf0AmEi+9FKLrAIcIJQSIZcDz+5oYFhSjbCUjKSnEcwPpMHH+r5Hhjhjjw190MszMlim5AXFep13UGRwqYm5v51ef7OT2YYyRX5JChEvkhth+S1FXOXBxlV9PS8H+x7BLLzZIKXD44fomehhiZok++6HD+2gQ5RxJPJvHaJBdn8tyesvmlJ/ppsirV7ZMzZdxSyI+O3qYlqeKHkiI6+3f14b/zJr//7/M8u6uVvb2NzJU8fnRkkMZMjH1Vw2zoKoqisL2vhT968xKbuuvZt3H19x24exjoLttb6+O01tdmCz36fL4OrZRyTAgxJITYJKW8TEVv+0L1338F/N+q//9ldZcfAP+tEOKPqRSYzVUN+s+A/0UIcWfF9wqVdO/DuMbba3jO4L0eX2vO+reA//uybX+TmrF+5NEVwSFMCuMu5chmt64h7mOoP84ViXsKWw2LDbrJj4sF/nZfEzFFmR/TJoQg2RCDcR8vkqSEoBRGCCph85gmqIvp/HiiQGdGJ47C+1M2UXuMW7kyPY0JkjEdp+hhCrBnXdBNbpdd3h6dpV3XiNcr9BomQX3EjybyPNGSpNxg8tz6JophhKGoGJrCM7vauHh8lK2r6KZ/MDrH1tDANCtXnog0Rj+ZZLwjRV3C5NToHNeG53iu2mJWzAd0KSrrlYVCKE0I7ILHYFLnW09VRh/mbZ+NQsMyKjeinck4b8/k2ZuK05A0GSq7fFS22dqY5INbMxiGyhNtGRQp+XhsjidaM+iKwo28zbgfsiUbxzc0ChfHiBsKpqZRsn3UEKQq59/z3b0NxCeLnLg4yqEdnSiK4PzAJMpcmXhndslrP356iBf7G1EUQV9jgrLr0xbX+Vf//kMOvHyQ33qtIhpSLrv8/Mcf0p9VeevDa6xrSeHaPrrj8lx7jMTW9bR2NhKzdAxD48P3zvDxexP8yuYWnJkSP7gyzsWROV55ohdbLljWfMkjaWlsW1fP9MQsXRmTD84O89SO1dOAdabK6GSRtkWLjrGpIlnzwZT8ajxCVPoPv4gz/V3gP1QrwQeAv0VlquR/EkL8LnAT+CvV575OJb17jUrr1t8CkFLmhBD/V+BY9Xn/051is4eFEGKAyvJz8QrmzpdGSCl77rbv/XLWv01lnFdvVSbtDingob6IRx0nijhTKIMES1XYnozdU5/6USOlqaTuIf15h2nPR/cE66phcl0ItugWZX9lT7OMYNoPOFt2iGyX77fVI4FCFGIogkhEqGlBf9YiSqg8WRfHiyQ/PnqTetMgXvBwSwG3yy7PZBNcKpfx3IDvNKRJaipTXsCZQomnMileak+hqIKwOv5RofJpF0BD3KCkLF29X8yXmQ1Cbs+59JsLldxxIWgqh/zzH1zg8ef7eWpXJ10bWzh5fIjNeZ9Ak9x0HZp0g/ii0HpeSPb2L8iOjkyXaI0EuqkwVw6IkDyRTfNePk9rRiWnRvyNja0UnQBDUbCjiMOjc2RNnb3NKY5NVArOWuMmh+qT/OjaCDcUSdKRrE9YFIouMpKMlF2uRgrbcmW6ql7kxqYkc7bH++9eQiLoz5hsWWaoAdQwms8Tq6ogVR1X2pJJ8OzTC+pe8bjJY0/tZuz0OfpjGrtiKlpC485E3Ld/8g7nuzppbMri5fO0Rnm2d2WZ9AJO3pymIW1xcEMjt4dnSTeniaQkX/bnZWtvTeZpTps0Z2NcHJkjDKP5GduL2dXbwPsXb3NjOMa69npujuQIijbPbL1/CL3GNxsp5SkqLVfLeXGV50ruosAppfzXwL9+qBe3lOXX2AD8GpWFROFeO97Ps/6ISrVaI/D/WrS9AJx5sGv86jLrB5zMlzmYiGMognwQ8ovpPC82pL9SBnstXC25bNKXClBsEDpvnRvjdw4ujBXxwojSZJkLnkdG6jQHKu+N59laF6cchHycK9BraDzTliSjqZQVEAgsVeANF9meThH5EjNUeNxK8MFUCcNQeCKbouRVCtgaDY1GQ2fK88nqKkOej1uqxMolgJTcyJUpeAHJcFGv9kyBvnSc7XGDUj5ARmBXZ3IXwwhdVdgSM5k6NcYPz4zRVp8g1prkzy9MEbvlo+dgVCkj4pIDqSTXFY+93SlsZ6Gwrrspyc9VycZIIZ2xKNs+CUXQRIymuhg7E3GccogVCSrdS4KbuTJNaZPjI7PsziRAFcRiOh/OFqhribOnNc3gZJGPT4/zkmUx5gd4MZV1ls5ovszIbJnH+yp9yJmYwdPrlg5/WU6oqnhBSBRJDE1FUQRRJHHUlV/79rZ6rh6XuEKZH6ZyBy1w+E6HxNDzkIBrIxH9jQk+GZrhrz6/gbhZUYL7ySe38Vyft08Pc2h7BzoRnh9y4uIYr+5oqV63TskJlszVXszTW1ooOz6jE9Psbo4T7/5q6GzXuAe1qVvzVL33JPCrVAx0HfAXwPfuJzt6v5z1TSrhg0MP6Vq/kpwv2jydjM/nRNOayr54jPMlmx3Jr1fOLKurzJZD6hYNAFGEoDw4x+vqLRqbkzhuwOxYiVYnIh/TGcjZqLpElOFm2QEkG6TJrBYQq7pXZiiZK7kkYjoxT6JFEt8LiYRAKpLdlsXPi0VEFhZFUtmYsDg2U0QVCvvqE0yVQ967MkFT1uL6lRydoWCq6DIThLTqKppQiOkqcU3h8PgcRTXEjzSQUA4jkobKed/FskwOoBFDoNiSS6fGMc96bNBiBImIkhtRKge8nSnyK7uaWZeN8fb1aXb21qMogripYW6p59Ynk2ypeu6Dnk9zTwbbDcAXmFKZ125SpcApRzTEIoRucGKygKUqnCvZvPjienZ111EOI/obEuxrTvHx8ds8t76ZuF4p4Ds+6xBPW5S9gLhx/+yVlBInivjPJ4b4/q52ynZIJOHwaJ7WrpVzqsfGZ2hMaJjbO3jn2HWe6K5DSjgxPEu2LbNEzKQ5E+fHnwzx8t4O4tVoixCCZ7a38uMzo6zvaOaD86NMT87RlbX4pX2dlJzKIitX9NgVv3caJm7p9Ldn7vmcLxO7XOb65YvUNTTS0b3WuXjfVGTNWK/kv6bS7/13pJRrGuIB9w+DfyClfEoIUWBljF1KKb8Ry14NsaJ4KaOpXCt7X9IVfX5sSlj8tJjncanORw2mw4B1lsmeksC+VkATAl3RuB4FDBRdDnakaNE17DDi3YkC/aHBeOizKxnjdMHmsUwCVQiSUuAUPEpOQGQHpFQFAZT9EFUI3Gpuy1QrE7gSqsJg2cVGUggDThZspAD7qsNlL+TluhREkvZEDCklH04WaEtZ5L2As7kZtlkWjYrOT0t5WhSNlKjMq27tSFC2fbLVGcwlL2R00qMj0ghlZdpXNq6QRUOLa6zLVvLXj6HxkzeukmpNIpGMBiG7vt3PxZtzTOQlnVacJ7obGBqd5ZMzUxyqTyGRhBEICUEhZETzeLIhxaZ0nCCS+EmNrroYc3kXPwiRQtCcjpHKxEgaGn4YcmG2zPXA50BTgstjBfYsa2NajWPnRzi0vgFzSzNHzg6jhBFTZZ+e9a1ksiaffHKVvXsrVeGO43Hk/VN8b08LQghSkccffzJKa1uWeE8rE0WbkuMThhGHL45hairjto+mKUhkZU53FIEQqEKwf2sbAB+fvEmTVgl5CwFnbuZorE+sWgj4VeH0ieMUbZferduZmZjg4us/5ukXXvzUg0C+GdQGeSzjn1KpAP+rQoh/BPwQ+I9Sykv32ul+nvVT1f/X3sj6NSRYpZrRi+RX+qYDMO54XCt5NJsaG5KVm82w52Fb8LosUfJCsj5sTsfosnQGyg49MXPeiOfDkKfrUlhCQcpKYdkrrWlevzWLocFgyWPc9vlhfpaYobAubTAahvhIEoqCqNZVJFSV9/NFNmcS3HJcui0T3VCYcj0+Kdr8Wk/TEqnRawUb0wmJI+bneQohiCNQpETmPXZVZ3a3GgZ/o6WOP8nnKcXhd7e2UfIjzt6qKAjKauJbUlmUBZFcMlxkcSVyUld5FpUoV1mkeUmdvZtbYXMrAEfODvPGjSl6hMKZyRJaCHvqE8z5AYdHCqhlyfpOE7vsY2YqYzpzbkDoRWimhmlq+F5IvuTjhRF51+eI4/L0gQ62x3SGZ8tcuDnL7q7sfT975ZJDXU8WgOcf65nf/u7FcfZtbWdoYoZf/Oh9VE1H8R1e29k8f8zjt/L8rb9yYP73KJL87O0LSNvm23s7EUIQM1RCCRMFF7Oql54wNQxd5crNaTaua+DQnnVcv5XjnWs5rg5O8p39XbQ3Jpdf6leG3OQkbgRb9h0AoG1dD82dXRz7+COeev6FL/nqanwVEELcCcWcB/7PQAz4HvAfhRBCSrn7bvveN54mhFCB81LKb6yYbpdlcMl22FzV7pZScrhY5on6r+6N562xAlpeoUOYzMiQH1hzHGiJccRzebGtjlbLwI8kPx2f4chQmXVOjHikctoqsKnVYGvGIhCCrKrgSigTIaNKq5RjSuoVjQ6psSVhElEp0Psob/Nybz1ppcQ7hRK7YhYZTeVMyQZV0JE0ccOIw/kSigBDU/nr/S0r6gIUAcEqobVIwnjZY7NpEEo5PwglkJIGqeBImHYCGi2dMpIwjCiHEYEq6EgpXJIuG9SFtMasDOhqX+kx3bme1GSZKzdzbKzmjjesq+f8qWHaNI2D67Lkrjn8dGSaFCrr0XnPdGm2dNwgIpKScS/g44k8jwcBGxuq503A5duz3Lo9h+yQPP9cH6qhoqoKTdk4By2DC6N5tn2KMHHJ9rh06jbB9elKqqEhybPPb0JVF441PWfT1d20ZDGgKAKpa/Rn0vPbd/Y08PqxQV7Y3kImaSGE4N3zozTXJxgcHCedNGltSNLbWcfYdIGX9nQ+sKEOwoh3rubQUimEouDOFTjYlbxrvvvz5uqli6zfd3DJNlVVkUqtWv1erGwt/kbzQ1ZWg6+J+xprKWUohLgshOiWUt76NFf3Vac7ZnILOFwqV7wvJHszccz7CHE8qpycKyNnBZ1apZCsXmhkXJW/mJrj1/uaaLWqleCK4Om6NPmRkA5MUKDO07gyUqYvVTWICJIKeLIyQlMXKp2WjmuHpKstNwoQVxQOmXGu5x0URfBSS4bLRYebnktzymQy8BkmQiDZ2ZAkc495270JizdnZmi3Fm7akZS4CiQ1FTNUcMIIiZz3mLOmihEzuDxZ4JKmUFLgw6kCe1MxjEjB1ATaeoUbORe9DEFM0t5tsb99IdMjpeTqXJlpJ2BbXZztcZNrx4d44+wok2WXaNbhQF2CghcSmGD2aeQGXUxFMGH5/HZ9HW9O5tmYjXFK6qx7oot/0reHt48NcmlihN0dGYZnbSbzDjOAGVNJpa35iu6EpZHXPK4Pz614Ty6O5pkouQBk83EyTQ2M5kq01S9Uwv/5X57lN9uzxKrDR9wg5A/+/WHW9dajCUmAIFA1GlvrKToBuiowq7lqP4jILGqN88KI1w728kdvXaGnow6EYMOGdq4NTvHyzlbO3Zzg8pURZBSxsztL/X2kRlfj7aszPPvyPoxqjl5KyU9eP8Frmz+9sZZScmmkyOngXdp7NtLU2rbmfVVNI/B99GWCQvKLaU36aiLlF9W69ZVASrnz0+671j7rOuC8EOIoUFp04l/6tCf+qtEdM+mOmXd93I0i5oKQRl17ZCvES0HIR9MlcCVJS+OMVyIdacyJAEsT+EBHfOmNKAohnVQX/dVhnR/j5IzN9ozF4ZkiT9SnMKqv+Vy+TLehc91e+QWNKwpBFOIJiSclm1MxJn2f8bjKL3U0kTYqxVS/uDHNDiFWTNm6gxCCXU1JPpwukhEKIVCQkkMtaTRF8P7NHIcSizzkICQW03EjyYF0AkdGzOoasTT8cGSW/ro4G1uS/PX+ytzsOS8gpWvYQcib16aQToiNxDbg6dYsfQ0Wp6aLSEXwWHOa7jDicCngme6FiVHb6hO8OzxDa3uMQ/pC6uDJVJz/b+jwD17bT13CxFcF339hE5MzZd57/yovb2xG66xjPO/SUBdbUZkthCBXcDl2Y4qWtEV3Q5JjN6dpbkjwXLW1bKLkcmm2jO3oXB3JU5cwuDw8wwZdnzfUAFEQ0eoFPL2xEV1TcP2Qdy+Oc+X2DBv6mrHDiJLrUZ80MIi4MDRLa128eh1gGRpd7XW8sEjyc2BoGiEEO3ruXal+P8IwwqzLzBvqO699844ebg4Ps675waNanh/y4xuw+4Xv8N3+fi5evMapD8+w+8lX17T/9t17OPzxx+w89PT8tuLcHIlV+vtrLOKzy41+rRBCNAP/LXCnf/Ic8C+klOP32m+txvp/+AzX9plxHcm1y/79n/glIKXkPDZJU1Cvqxx3y2ieQp/y6H2Bz8gSh1JxHLUyTapXN3i9NMe3YikURWHC95nzQtK6Op9PBijbEa6zELXxZMTkSMj4VIQmBX85OUPcVHA9ScZW0YXONCFOdmmk54busbM9TUrX+GgiD2HEsAz51f4OZCTJOyGaKni+p4F3Lk/yeGblpKs7NFsGL3TUU/BDNAVii8Z2bmlOcXi6iBZCJMCKaTzemKYUhvyJU2bHjlayGYvDlybYoqR5qnEhDKwIQZ2pE0aSNy5McFC1UITKMc/m1c56DKOyGNvbmOLcTImJssvNksuBpqW1looQ6KrC8xsb+WAwh+KESGAkCnlqWwsd6RhhGBGFEgE018VpqEugqArv3ZjixS0tXLU9ro7l2dC6cOw3zo2iScmO9iy3Z8r86PRtEkmTA1XjFUlJ3NRwbucQrfUc2ttL0fZQYhYpZ2lnSBCEZE0NLwgrxjqIaKlPUHIVPjo9xOaeRk5dHObspRF++/EuXE/jnbOjHNrcTL7s8c6FCTZtbKXshcQMFdvxeVjK3GEk0Vepes+kYozYn+5e8P6gwyu/9dfQNBVbCLZu7SObmeDqlfP0btx23/2tWIz+vl7OfvQ+iqYRhgExQ+fAk099quup8c1DCPE48MfAHwD/trp5H3BECPFXpJRH77bvmoy1lPLdRSdrBKZX0Ti928WpVPTFh6WU3xVC9FYvtoGK3vjvVEeafSW5LB12Z02S1bxVt25UxkqWAhqUta6FPn9CKUnoCooQmFLgyAghBI/HEwwFAe2KztNqgr+4OcVv9zZhqipBJDmfL0Fu6Z/6mmqzX694WBmhkXE1cKsPVm18d2Txbr7I3kSMhKJwwXFoaoqRraqnPd1SMZB/NjZDUirzS4MwkNhSomprSzGkVpmP3J4waU+sjIKc0+G//vXdqJqKFLC5q44fvHudn10YQzVVDnRmSVc9zxNjc+wWxrxHHItpxFQF2w+xqte2IWXx5yMzrIsZRHdJQSV0jVc3LEhsvnNjGiWU890sRgiFkkc8ruOGIe9eHacpZbK+JcXgjWk8AW9dHENTBG4QMZN3+N39lRqV9c0p0jGdq3m78t5FkpIfkk6Y7O7KMuz4/PT9S3z3+a1kkia/ODZIS3LpInJOgYRVec3juTIffDzEus5GtC6NkxeHeW5fD0/t7ubMuSFaTJVD29o4cXWc04M5ktkEMVNH11XO3Zhi4MYk39u/fGr5p8PQVYq5/Irtp08P8kznp2vrUrLNaMuiNe0dzZy6dJEFJ+fedPX00tXTSxRVvj9f9SLTGl84/w/gr0gpjy3a9kMhxOvVx5692473vCMKIQ4KId4RQvy5EGKPEOIcFZd9XAjxrTVe3N+nImJ+h/8V+KdSyvXADPC7azzOo4km5w31HdYbBmPi0Vp/XPUdClFIOYpwiSqtUjJCEWDLiqlJqCoHbYt/cW6EP706yZ9cnCA/6FEk5Co217H5WJtDzUiuKw7ePcJbaUVlR5jgyqzPxzmbOsdgf/NS73PS8XDmgooWuKgM+gg1wZwf4noPf6hbrL0ywUoV4IcRSij57uPrsDSVfULn7WtTRFIy5fjkSj7xRd56dGd2dbVttCAlftxg08FuUns7eGN0dsm5gkjiV3N1UkoOl8ocMSWTOqRmHM4PTCIAXUDcl7x9eJDxI7cpnxhHBJVzbauPc21ojvrGNHUtddx0BOm6DF6wMAayMWEyPlsx1mU/JJ0wEAJuTBXZvK6O5zY3c+LCMKqq0LG7mw8n8vhhRNkL+OnwLH1VdbCzlye49uPLvGpH7BvOI358gbQbkknHSCVNHt/dzZgToamCZNzk117ezu+8so1y2eXjU0OoUpKOafedrPUgbKvT+Okbp5gr2LhewDvvX6BV8dBWUT9bC6HnrtgWRRGR/HTHO3/iI84ffpOzH7/JjSv3nG74zUZGn+3f14umZYYagKpHfQ/h/Pt71v8b8H8CMsBbwLellIeFEJupDOT+6b12FkJ0At8B/gnw34nKMvQFKhKmUBkI/j8C//I+1/GV4lFbbZ93bZKeTkFGGJYAKXBERFJReaec5/lYCiEE5aq3oBQEyYLCOt0CAeviMBH5lOpCfrmhASEEfiR5YzTPVjs2X3W9HEUI+tW7pwPGbZ/1jsZ/vDzG7+xqR1cUnCDk6O0ZQv/znUvshxEJoRBWxzwKIdiuGvyzd27S45gMRy6xrEF/ykJVBMKJmHZ84jGNkozIZGO8N1vkxZ39mLpK2Qv48alRfCdgdtIFT1KX1rmgF8nHFQ4820s6rvOBpdE5XObK+wPcuDRBsj7O9GQRcXuWb6WTHHEcyqXKQq81baEFBvU7Kl7fbz6ZwlIV3v7Td3ippbKQOD2YY+rGDK/nHLB0ejc00FAXw1UUbtyeZXIkz9UZh23rW9i2pZW+3gZOnB5C01V+/cXNvPXRNdSxPAMnRtiuGXhBpSyvN2lx9dRtZh7vw9AVQjegq72eayMzzNo+O6u5603d9WzqruSnp3KllW/0Z6C9Pk5rVnLq8Fm8QHKopw7TuHvdyP1oYY6b14dY17/g/X/40Vl6tzy45tMn7/+M55/eRjJVST8M3hjiytkTbNyx71Nf39cS+VBGZH6duNebUb7Xjvcz1pqU8g0AIcT/JKU8DCClvLRGg/TPgP+eipY4VELfs1LKO27TXYd7CyH+NvC3AZofoXDyCgJBKQpJLPKur7kuzVJ/OMOkHwJFX9ItNCxP8O5sic64jiJgyPeIAsFVxaVd15ERnCjZbHOSlETIAC59VenRWSvgpcYFz1hXRMMnWQAAb09JREFUBM+1Jjk8WMIIFYoiREpoQqdFXVvmsj9t8WNZol9P8P6VKYQmEKHkQDrObd2j4IerhrnvRyglH4zM4dshCEinDB5rSlIeLRBGEYqizv9p3j8+xNaq/KbwJY22Spdq0ikMTs4UMISgJ22xWTf4wcAUva0JIlMjE1fZcbB3vlr65QM9/P7pEVqnIrbrCVRDQARXrxeJ9mdJV1W7ntzZys+d2wjbJT2QY/z8OElDZV99ktMlh56+OqarV3cjZ7Pz0F7a2+oo2T6RFzEXhcimBqKoyKXhOYycw2/0t6AqgpIXcP78BMP9WYJiSHy4xIG4wSZd450/Ps7ub22jvTXNU4/3zb9Xrz2/hWu3prFzDlZDGt/28LyQMIxYr6tcuzbO5v4m0pbOzbzN8O0ZYqkYUSRXeNHBKnPOPwtXh2cZmSrS2ZR6KIpmOzoSfHL6Hd690ITdup+yC3UdW0hlHmysZm5ygr6u7LyhBujp7WJg4K7pxho17vCeEOJXpZR/sXijEOL7LB1DvYL7WcHFqwB72WP3zFkLIb4LTEgpTwghnrvPeVYgpfw94PcANmrWI9uot0lYfDJnk7UEjZrGbddH8RX6lYdVavPZiKRElQIE6AjWOTGKdohDRNxS2WbGOVkqc8O3SUqNDTKBIgQpVC76ZfqqL8PUV4YKE6rKbemx14qzSa0Y9UHfZcBz6LuHR32HmKqSqNeIGyqb03Ek4BJh6AqmF+DLCNYwfGQ5PxvMsSMw0YUOEuZmQz7w8xxoTfH6jy7Rtb0ZxdQYvjRJ5kYeQ9Vww4ibBZcmKtXwQgj2aCk+mM1TbNQwDIXf2dJJQlc5bApeemHj/PmklFy6PcPQcIn9WnJJN8B61eDd4eL870IIvv1CP7mCw799/SK7kmm8UsAZAbs3tzFp+6xrrRTWlYOQbMykUHBJKgoIgVTAsyP+5PQgdtHjVzobSFQlPxUh2N+k8+ZYkV2aQWvSYq7skU5aPJcUvH/kBuWdHVw/cQtR9pEJg80HeujvqudCYwJNVahLWdhll5IdkDNVurMWKUMliiS3ro2TELC7p54PTg3xzN7u+dd15VaO9szSv/l03uH0rVk0QyfwA9Y3xeluvr++UhRJXj98g+3taZ5Z38jAeIEffzzAtx/v/cxh9r2dcaDEmX3f+dTHGL19kyf3rZQZtUyFKIpQvqItnZ8b0SN7+/4y+D+w4Lwu5n0q08Duyv2M9S4hRJ6Kjxir/kz19/vdjZ8EfkkI8Vr1uWkqIzWzQgit6l3fGfr9lUUIwQ7iOE5EXob0ibuHhb8MFCGIFIkXRUQSYkIlJlSuSptSVAk1Cwk7ZdVLWCzeteg75ngrozdTrk+joi3xpHt0kxNhmUjKNbWwfaurjjem8vTWVSQ941pF2etW3mZCUdA8HxlJEgi2p++vwz7peGQdga4vnDuGwuRMCa0txRO+gn1umiHXY2Y4T2/MQiowaLtcnPV5TF0YjSmEoE03eba/AWNRntTK2bx98hb4ITKMuDFZZFNLim3tGZzxEBFGxKrPF0IQFn0uD8/heiFbuzMM3Mxx+to0f62tnh8NTZNKW+iqwl9eGWNDzOIpy8CfzbE+kvzwx5/w/V86MH/DE0B4dYTUpE1T0iAByOqAEUVKRCi5cWWK5za1kc+VK5PDZm0iYPrGBLGLYzxeV/1b2wHH/uAwoiNDquwyWirR1pQiZmoUHJ/Ttg0DE9wamMSbLfFsS5zjkyWySZOeOo+3jgyg6SpBENGSNNi2bsFDLdo+n9wu8PKTm+a3HT8/jJgs0tV077arj86P8vzm5nnd8b6WFI0pk6OXxji4de190Z8XnT19XLl0kV17ti7Zbrs1Q706tTD4In4T7pkq/Xd3e+B+cqOfWppHSvmPqQ7urnrW/1BK+deEEH8K/DqVivDFA8G/0lhCwRKP5he1xdC4YJfZScVjG5ceQpP0qiZjoU+LqjPuebSIZWIPi15Ok6fz8XSRg1VtZy+K+OHoHE/pK2+8KVXBCWRFDvQ+CCHYlrA4Nplnd2MS14s4PVWkGEa80tOIWvWkxsoeJ6dK7MkkkFLy/lCeiSkfGYCZUni6P0WdoTNh+/NV+IGsVEebQhAL4Wc3p9nRnKK3KcnomE09CidmS0yFIS2NMTIpY0nWSEqJVqcsMdQAehiRdQO6W1J4YcQz3XW8dWmceJOJNuMS+FElTCwE476PHbqMv3GTSIN/HQ6yuyVNj4D/NDHNC4910tuQrEqcSn56enT+PKfH8wwcG+InkeTxF3Zg2x5H3zhF9/UxJmSEqgjKfoiuCo5O5PEA2w0Jw5CxOYf+7NLFzXDeZl8miZQLUrn7G1IcHi/wfF8jnwzPciImEJEk353kxcYEW1LVW0QqzWzZw8pUIijdzal7esknBqZ54fENS7bt39bBWx9dua+xDvxw3lDfIR03cNyVYjDLKZQ9jp8dQQQRUlM5sLONROzhKp5l6ho4ecGhbWyS5tYmAM6fu4KZWTkgpUZtkMcylhc1/BbwJ1Qi1b/FpzXWnxP/CPhjIcT/DJwEfv9LuIZvFOt0g+HA5aq0QUKTprGzKqt5ISqzU49zRCthBgpZUdF5viRs+owFj7leaMzlBD8vFDA0gedJ9gYJxnSfjLF0TVcMI9olhMg1RRk64ybtMYNLORsFQaeusbkxOW+oAVrjBpeVSgHTu0N5lEHoFVX5V0fyE3uW397TSF86xofjM2RQKQchqaqnIxV4Lpng46kSw67HbqlhJgxIVDzpq45L+4YEVwfKxOYqKnVBA7y2o5Hl5DXB/sYkhJWbkAo8t6GJjwamuNbskRmLSHsREyLkonT4mx2NRDLiI8fhN3oasaVEaILv9zbzyc051jUkKfohKUNla1eWG5NlxgouWiRpS+uI8wP8/OQV7LzL99rqoC7Oh9Nz/O/as/zs+hSTYcD3d3dhGQo5x0cMarw9OUdvpjJzveyH/PjmFFub05RVyXuTefriJl1VmdA7S5G9HVmsl9fPv86j50b54GaOjoTBRNnHMTVeeHxtU6aEqq46s3p569RqhHdRvLpfNHWu5PLBewO81F2ZjBZGkp+/c40Xnlv/0A32nidf4tL505y+cJIwkrR0baS/t/v+O9b4RiOl/HuLfxdCPCWl/Lt3fr7Xvl+IsZZSvgO8U/15ADjwRZy3RgVfSqYJaRcqCJiOAtoUnQkZ0Fj1Qg9YcW4EHtdCDyFgu26RWBbSyygqmTAGdwq1VbjpuRS1cL59bSIMGCh7FKu1RpEm2WZapNR736QVIdhaDXMfnSmwaRX95zstO5MTPn1iIQsjhKCjYHAmV2ZXQ4JMnc61nEurVImQXPBdOtMGQgh6dZ2Tcw67M0vbyDZYJqftgN9+oo2xsoehCOqtpXUHThhxJl9mMAoII7lkMaGrCgqC33ixj/Mjc3zw8S1e7KpDu1XxBifcgPX1CVQEBpJICIQiaFQUbC8gbemU/Yh0TOemHzBddMnUxfjtzV3MOD5JReH2rM2pwRmKcY3f+N4WTp8eJRnXOdjfgm4oaJpCRzpG87Y2/svJIf7L4CStcYMrM2V+a3MrkayoyG2sS/Dm4DTtcYMPpwsUTZUPpwq4XsCeqRJtjZUIzIHtbfhByGiuzJ60Rdxaex2GjqRkexUjKSW2FxKEEVdu5djbnSEZu/uxejuynBuaYXvXQlj95GCOjV3Ze57zRx8N0tLRzuFMmqBQJjOX4+XuBg6fHeW5Aw9/lOWGbbse+jG/ltQ867VyT8/mES6zrvGwOOGWeEZJoQqBgYIrI04EJYQCB7VKSFIIUan8fsC6uF1qnMu2Q1hNcN9wPJ70M/P5aulLzsgSTybWLg+5IRHj7HSRXY0LYVY3jLg1Z5MNKhKoy4kLhTm38sBjLWluJGzeGZih29LZkbXIVrXGPbmyihkqIe87WYzW+MqFwuWSQ77e5Mm9fWzxAt65mWNT0iKbNIkiyeBMmY5MxUsfGi/y1za1IiUsnnnnhBEhklBW+rDVSBICmiJQFUGE5PTNGfZn43wykue1qmRnxtJxwoiGrMWbccHv/vJWLEPluiqQmiBp6sSrVemSykS4YiSpj2k83lXR7U4YGpGEvOOTUBX2tqb5w6vjfGtvJz3ZhVntbx6/xasvb5pfGOmauqaisOUc2NDIjz+6ynMH14MQCEXhvdO3+fVXt3P0wiibmyzaG1Yq1AVhxEjOZmLW4ePr12lJ6STjJp0taTqb7n4dE7M2TTu28tLT2+e3DQyMcuX94yA/3zbAxfieRyE/R7a+oZa/hsoHsqYNfi/++aKfT9/riTVj/TVnNgypRyeuqHgywiacHwm5V79/wdb9EEKwuVqU5ckIJxBLCsuEEDSEBlPh2tt66gyNq7MO13WbvnSMnOtzZGiOrpzC3LTL7cBh/bL6xluax8uLZEN7kzGu15c5aMaYCgKuOi4dms7hQomuhjizQUBWW/j4n3NctnetrmcdRJKZtM6L2yvFTc2aweMbm3nv/CjfTlscvjbJsaFZehsSHL00zgHTQjEqFfglVTLteiQUhUvTZTZl4rhSktU0in7AJ1MFNkZNlL2AN86NEncjjs455DwfN5LE1OoQD12lpMCmjiyWoZIruMTCimH2wxB0FYkk74YkLY22bIznehp48+IYsapno4iK4beDkHIYEZoqvXVxFi/on2zN8PGZERRdIYwkO3sbyH6KIRyqqvDdvR386MPLRKZFU12cl/evw9BVXni8j198dGWFsY4iyesnbvPKgR4sQ0NKycfnR+nMmvddMJyfdDn0ymNLtvX1tfHm0ThqULzLXg8PKSUnP3qfuKlRV1/P2SsXSGQbWL91+/13/tpT86zvhpTy3y36+W/e67k1Y/01pyhD0qLidRlC4Y7P2Ch0fCSfXmJiJSGgrhLJ0aW4p9rZahzIJhkqu/yHoVGMQsRmLOLVqvOnUnE+LOTZGyYwURjSPNrX6aSXaUnva0rzX/IF9m9ooDVhcHhwho6iQTYPPw2KdMd1MkrFCHa1J2m4S17zWtFm5/4FOQAFwA8ZGS/yry5OMe35/M7uTlqSFmOWycmhGZotHSEEmq5xruxiRJXpTP/+yhgdmRjZuM6VvM1v7Grn1o1ZLudKWFLSn03Qm4nRYOrcqnrrCV2l7IcEGqgxjbIb8P7hW7xan2Ta9jk1NMue7jpCCemYzpFbObY2pbB0lde2t/P7713nmWp1vhAQ11WuzpXZ0ZpmeeRNAc5fn+R3v7MNVREcvzaJF0nyQ3nEjEOkKzRvbOSx3avKIyw9liLIJk2eeWLjisd0Y2UI552zwzy+tR2r+ncUQvDE9nbeOj54X2OtaBqJuEGh6JJa9DkYcUN+dffnX/h17sRR9u3dSTqbBWDjls2cOXmK3OQk9U1Nn/v5a3w1EEL8a+4e7hb3Mtg1Y/01p03VOR3YNCz7UxcISYiHW3QTEwq2Gi7ktKtcFzb1vsqPLuSw4gpPdqXnW5vuRVfc5Op4mQ3LhqK0GyabWyVWSqHkRTzfnKZulZv/hcBje3uW2RmHmWmbBl3F7krQNBrwHTPNBStgV189SU29aytFJCVXpksMfjCIqQlulFw6snFmZm2+05ZFiSdIWirvDM3xRL9GW8pC72ng/MgcmzMJUorCjo46NEUgEGiKYKjsMqdAe9Lk9HgeIQRbsjGmCh69mRhBJFmXifHR2BzjJZfdbRkmyx5vD06zoTXF8XcGeKUhxYzjc36qyPWZEmduz5KIGbRmLfrq43RnK9EORRH0NCV481aO5phOTFO5XXTY0JDgWtFdUhkO8PGtaX7j+fXoVf3zxzY08Z9+foUnZwJMTYcIhk9N8HEYcWjf/XXAk6bGTN6hLr0wC35q1qZcXpD+HM+VOXFiiHzJ4+DmDubyDvG4MX8NaylKq1MDJqfmaGrMULR9kBLPD2lOC1KrpDUeNjLw5g31HXbs3sW773zwDTfWNQWzZfxo0c//T+AfLvv9rtSSKl9zVCHIaioXQ5tISgIpOReWadG0z0UWdaNlclYpkZMBeRnyMXmSqGzwE7RNG6RvqfzFmWmCNQol3E22WVEE+5tTPNuZWdVQAww4Lj0oHKxL8kR9iqeySfQIrkgfVQiickhKv/f78N7wDM83ZtgbsyjNefxWXQambX69rR7pSSIkilB4tiXN0duzSAmNcYNC9fVJKTFVBS+U1fYsMBWFtKVj6SrPdzXwXGc9bQmLelPDCSM8TZBKW7y6sYWUEPze8ZtEZZ8nswkKl3JMX8zxHz+4wce3Z3isNU1v3OLXWuvIT5bZ25ymvy5ByVtYMakIXu1vorc+QTZh8GJvI+sycR5rTPGTC2NMllyiSHLkZo7J6gzrgu0RRpKy4/PUpmYGyi5BKJkruqSDiIsfDPKzjwZwvXvng3f3NfD+8QGiSHL+8hi/+OEpBt+5BEM5fv5BZfuJE0O80lVPfyaG43ikDY1yeUFbPwjuf7Pf0ZXh7HvHuXjpFsmEzvT0HB//4jAvbVlZzf9F8ajJDn9pRNFn+/c1Qkr553f+UVHzXPL7vfatedbfAPo0k5IScjmstEZtMa2H3hM+LnycJpVYTKd1TuJO+YBCvaeyKVjITapC0FMwOTpW5In2+xcubW2Kc2mgxHptIWB/I3BZ33HvfPuJqQJpqdBgVVTMEJVOq8eyCf7kVp69Ruy+crBSSkQksVSFs1MFnqivtJOZQhBFkoyukvMDwqp3qglBWUaEfgRRxTg7ldQ1ArCDkJimcqFkkxQG6xrjnJsokCt7dGVi5NyAbkWQXlR17WsKTz3WhRi3Gb06y37LgDgcDzxeaKvjo6Ecc1Mu758tsjPQ+OGfXKd+a5qXD7QBKsduzbChOmkru6yaO21qfKuzjvPjBS57IaaukEzF53ucS46P5wVMz5Sp1zVKZY+0VXmsJTJ4fl0dbx+7yatP9rEak7Nlzp4fQ3cD/tV/OkKbH/Fkdx26qmBqKaYKDr//g7McqKt8Pna1pHn9yCDffnYjuhAEYcQnV8bpb7l/caIQgpc21TE6eYv3/vQSnXUm39n0YBKlY7cGmL7wIZoICFOdbD744pqLxCIUyqUS8cTCZ/3S+Qt09PY/0DV87ZDUqsHvzqQQ4jeAHwDPcB/1mJqx/oaQUFR2Kp+9oGw1xoVP694Mu1orxldKyY8uTNByI2J6lUpcUyhMl9dWcNYWNyl1RZyfKCN9QIfeFoueexQ9RVJyKfRJxXSKYVRRQFMr40E9P6RFKNhRRCx97/CoBO4M7wykJFWtKJeyKvQgKpV6XhRhqgpCFSRNjR8OjtNT7T0/2Jbh3ZFZGjQNBcHFQpn6hji7u7K8PzDN3kyc9ck412ZtruZKNGYstlbb1t4bmWHCUmlXBT8eneEVdWF1YZgquhBcGSuxcVQlo5igwebQIne+zL/MX+VAXz19cZOORSFoN6xea9XrE0KwvTFFGEX85+k5EkFE2QlIxnRSMZ1Jz+fomTG+ZVgsvpdECR1VUYjJSgX38klY14dmuHZiGE1WzifH8xzc2VlpUfMCSl5IYzZBR8HlvBfRVHRoTlq80p7lo/euMhVGxBvj7OltWLVq/G601cdpq3/wz/mtCyepH/oJT/VWDHyhfJbXf3CDfb/yt9e0/84Dh/jw/bdpqs/S0tbK4MANhBFny/qaUEqNu/IPgH8N/BvgOtVZGHejZqxrfGacJnXeUEPFALy6uYkfjA6Dw3wO25cRKgKXiExyZR5yxHa5XrDRhCCU0BIz2JCKsT5T+bdWjgQev/ndzXxyfpy4oSIUwUzRQw0lH43O4QI3EhEv9i4NkUop+Wh4FqfsV7xhQyWotqQZiqAUhCQ0lQ3JGO+OzfF8W7ZSWS/hz29O0tiY4J2b0xzoyHLh1gwbgZSh8UpPI3NegBdG7OnMYDXEeGtgkpeaMvO92utTMVK6yl9MzjGT0Lg1W+bAjlZe7qyj7PpsaUjw7gc32TRsMywjhiz4YGKOqBhiRtp8QktTBK2qwcBciWdbs4yVXN4dmWG47JFKGrTXxSgVfFIh7Km2xl2dKnJmsNKKFhbm+LcXJund3UoipjMx55Coj3N1tMSmuIUdhBx3XA491wtUKsyjSK6QcD9yfIjmmM5T29pRFYX62zMcvT3Ds3GdUDKfR44ZOk8+tYEj713hhSQYmkKDqXF1tkyTpfN5RZJ3nvm/LPl96pNbPLG7E+xK5XhcwDPGddSf/V162tbmoe+ug3zRZfK4y77mBLqiwpk/f2jX/IvfemiHWoH6//u8jiy/dqHsh4WU8iKw5pFvNWNd4zMTs1YaXkNVUC2FHl3nmCzQ252gvcUibwdcnHH43zcvLbrJewE38g5PNiwY/StFm4GiTV9y7YY6lJJkW4KYrvL4lmbe+WSEnZZJQlf5YHgaQ0i+vasNM77yo//eUI4NUiMVr3hmQST5aaHA23KWXZkE743N8kRThqyls89Q+KPrE6ArrG9N8d1dHWSqYWYpJeeXhf4yyyrVlXBBVMUOQgIpabEMGmeLbN7YiBjLs7WzjiiKKBU9UpbO84938x/+/By/uruDJ2M6oaZwdaiEMyOJghBDEUQSymFAmFb46cQsnpQEMuLQ1mbWNSRxvICUrnFtosC1XImedIwrt2Z5PpvCVQWJhMF6aXJ0osxz39vK8auTbHy8gelZmz9//QI7urO8trUHo1r0VZISY5XJaJ7r89yBBUWvLe0ZbC/k2niBLdUWOdcPkUmLRMKgFNM5MzrL+VmbfYf6+Vs9DWiK4OTlcWaKM2ztfrDJWA+KtkrvfX97hvfOjqzZWAOkEybpxMPssfgaUBvkMY8Q4t/c63Ep5d+622M1Y13jM1PM+yuqinOOz9Vpm5gt6Nme4oX+ekxDoKsKz8g6Tt6a5bHMQnjzzGwJpxzyw7FZUCQdjTp7m5J8PFN8IGPtRxLT1DA1BdD47hPruDSS51yuxHDZ5a+va0ascvOIpCQoBaRSCzdaTRFsMQwaGxPcKLqMOR7/7uoIJiqKEPTWx2muM9ncmZk31ABnRvP0x+7dmxxRMdJHCmXq6mJoqsLUTJGEqnD71BjTBhRKLqWyT72poQiBY6kkW+I0xg2cSOJHEY9va+T4yAi9WLiRxFAVxgl57alOulpTpCydkTmbgZky65tTBJqCH0Wsb07x9liBubE8u+IVWdLADxf+jtM2nh8yVXTZnzBIJwxe/dZmbgxMMVf2cQKH8xMlHtuzegtXMrXUYKmKwub2DL/3iyvE4iZzfkTOVHn5hS2oqkJdJka6M8VGT7K1f2Eht3dzK784MsDW5SdY/DcPQk5cncQLIhKWzp7+xgeezrVawePA6Nx9dcxr1HhAnqEyNnq1Fcw9q8FrxrrGZ6Z5RvCD8xN8a0sTpqqQc33+8OhtdpfjjCVCvtPbgI6CF0mSMRWBijCW5jhPDpXYX0xSVy18m5nx+dAvoMUe7KZrqQozk2WMDU1ouqAcRvS0p7k1XeI3uyph79ANmZu28Yv+/H5eFCH8gEBfmkvPhoKr56eYjiK2qBrFOYNu1aAURoSzPle0IrmREmZzjCk7YGy8TCaIeCWdYBI46TpgaWiKoOwEbFI0drzQQ2smxhuTeX7jsXXzIjKl1jTvXJtgVzbO7EwRNYgwqoVrAIOTRQ61ZfG0igfdYOk0xA1ObZplfCogKIUUVcn6PQ1s7cxSDCvhx3RMJ5iq3BtimkrR8dEVBSEqCxK/et9IqQrF6gSvXNHj/UvjvLh3oT1rQ1cd/R1ZLtzMYSZMtjckOXV6GD2QRAqkmlIcqArHoKvz+XGoRBvGSi7fen4DH96a4/svbp0XW7Fdn8jzmMoH7N25Ul/bMLUVi8E7lB2fX5wa5sXdHcQtnZmCy4+ODvKdx9atqk1+N1rr45y7Mc323gYAirbHpaFZXjvYu+Zj1FiFWoHZcvJSyj9b7QEhxP9wrx1rxrrGZyYpVIzBiB+ODqPGFJRiRGxWElNUUIJ5Y2NEgpIfIgTkvADbqIySHC17NBf0JUM/6tC5OmbTse7B54J3FQJ+duI2T+9oRRHww5Mj3Dg2wYRUaaw3eKI9vWKf277PzTBAui5+GNKiqPRYJpeLNm4oeSqb5J3RIjuqam0JVaEURtT7Gg1OxMmTOTaEFn2KSV6G/KhUoK1OZ093loy+8DV741aObVKyqTHJ7SikHEUICVKApavs7a7jWq7MzpjFH787wHcOdBEZGgPjBa6dm2BLY5KYplIOFwr31rXEeW5PHWEkOTI+x6FtrUC1EI5KOjuq9rq6YYShKEwWHZJCYUdLkh+PDPN0JglUepLDSNLQ2sCLe1caTkURbO9toOz4fPD+dV7oWcj7j+RtTlwcY9+WVnrX1XOr4NCWshBUIgmXpsv8ynMddLWmOXrmFqZlICVEnsdz21oZmykzMDzL5p6GJef0veiubVBHLk/wnQPr5j3pupTJi7s7OXZlgoNbWu/9QVnE5u4Gzlyf5M1PbqFrKrqm8q0DPWvev8bdqOWsl3Gv6sd7hhBrxrrGQ8EQCus9A6rtsROi4qE1FTWOj+Z5rD2DjCQlJyKlKHhjLj+bK6G7KnYgabR15pSQhKGgK4JQSqZmfXpdjbPX8vc48+ro0uZ/+dkwZQnb8zoxAVNqQGpC4S9vjfNSz0J4c9jzEUmDX0ln8GWlcvzMTIl3c3myQmEkCjjjOpS9iOWSbx2Kzs+n8zwj06jVau20UNkSxhhUgyWGGuDxtjRnxvJsb0mRNjXSy0ZB6opCEEnqYzqthYCz79zkbMnmhaY0rzWm+Y83JjE1lYZqxfjATJm66jlURbCzIcmxmzkO9jagAl4QETdUbuXKnLg5Q3PKZGLWZm7a5pnWDEII9vQ38NFgjnQkCNQIrznBt17dxPBUkcs3cwgB3a0Z+tsXcrfHL4zx9DJ51vZ0jKsjs7AF9m1q4fS1SU6M5VEFhELwrSf6EEJQn7J4ZefKudTtDQlOf3Kb7tb0/NCQW2NzpM27R1dURawIeScsHW8Nvdl3OHVlnNxMkcaEgSEjFKHyxPZaFfdDo+ZZL+awEOLvSSn/P4s3CiH+AXD4XjvWjHWNzwWpSmQgSQqVm+eLlNyQTR1Jyp7Pu0N5tvgaRsLgiCzTLg2uCY8+GcN1I8oChARTEcSVTzdS/Wbg0esYNAkdVRG0APkwZFz4SH/pzWM4Cni2OoVLE5XQeX86xvCszYwiObCunr6kxX8pTlJwQgoyQgApFIZlQD3ailGgllBQV+llT2kqt7wATVEolVfm+k8Pz/J8S8UoCl2wLxVnVyrGsak8Pzk3xm6pczJ3GzVtMBKGPNFXz67mhUhB0tDQ52yODOZ4rLuOyaLLG5fGqVcEo7dnIW7Sk4qRbcvO79OZidG5q4O8G5B+ZT2WoXH62iTS9nh+fcVzvjpW4KNzJdoaEty4NcPoWJ7A0DnU24C+KNysLLox71rfBDyYeteruzv48MwQkVLpZW9KGuxff/djBOFKoxxFkug+BqJk+xy/NEpuzialCV5aJJ86MWdz4tIY+zav3TOvUWON/GPgbSHEr1EZES2BPUAb8MK9dqwZ6xqfC9tMi5OyREdo0lDWuHRmjmM3pnkplWSXqs0LkvRZBuNuhGJIJj2fJnS8MGBAuHQYn85QA8yFIZ3CXCLRlxYqI5FLbNl9fPGoS4XKGEkAV4FtDQluTJW5OlZmUvgUrZD92Uph3PmZMrYXkFU0WEh/Vyqyo5DBokMpksSE4M4pTk2X2Le7YgT2NST56YUx1rdUdLwvjebpT5jzOewDXXX8/Ookh7JJLATP6zEMRWGDpSECwR6pcfT2HKN5h12tadqq4id7mlLk3YAPz48RV1V+e13jkuEqq3F+ssB43kH/2RVIG2AovLR1wVhtaE0xeHaE8YLLsz31uG1p3JLPTy+O8d1tbYiqUExofLZbiqIInt62diO5oSPLJ9cm2bvIoL9zZpj9G5rvus/gWJ6B27M8vakJ240zMl3mvXMjPFP1ppszMS6MTnz6F1FjgdrUrSVIKUeEENuAbwFbqpvfAn4ipbyn+ETNWNf4XEgoKk/FkwwHHtORxx4txqTh0aQu0ygPQxJCpdOKc111OKGX2JA02KlpjJZDJh2fJuXB89ZSVsRXXCmxFkmVSSBSllnrQOKEEdYiD7EUhEy6PqNjNtu1ihEM1JADzUl8KTERvJTIcHS6wDpF4/qEQ59iEUmwkQybAa91ZDk8lWdrNk6TpnEmV8IrePOV41lL59XOekYKDm7J54VqWPoOKVPnl7a1cXJ0joszZZ43LKxqy5SUkvGiy/C0TXco+elkEU8RHOhrpCwjMqrKE8uOdzdOj+WJhZKnmjIolsnMnMfVzMpbQ19DAteurEpMXcXTQ3Z2Zzk7PEtLJsaxyQKvPLt+DX8byQdnR/AcD1UIPCnZtaGFlroHFzPpakoSRhFvnbqNpir4QcSO3nrSq8xDv8O1oRwvblsIw2/qyFC6Mc103qGhKiDzsAdFuV7A6cEc6ZjOps7sN0iKtJazXk7VKP+IpTrh96VmrGt8rnRoCzfN626EH5Po1RtVJCW3bJ/dSiUR7Jghf7U5O+8Fbo7BO7kSDY52X89wOc26xoTrk0XDJcJAMCl9xoXLq/GlMqe7YxbvDs+wqzlFq2UwXPY4P1VAcSVbqjfv6SCgO2mSVFTyUUi6ajTbEyYxT9LTpHF5rsyUG9FaZ7KvLUV7wmSdtDg3V+b1iUm+k0qSNFf24LbfQ41NEYJ97Vlm8y5GbuGmN1FyadA11ukmzzdmGCg5DLgep2dL/O6LG5nIO7x+YZxXWzNo95HMnCq4PN2ykI9OmRpO3sV2A2KLcuq3pkvsWtRznEoYWKbGW7dmObSujl/e07EmI/TB2RG2NSeoSy7kvF8/PcK3D/U9cMsVQE9Lmp6WlUWDd0NfdI26puL6IbvX1fPBtUme3d5OvuxhmA9v+MeZmzlmhcH+g1uZK9i8/skAT/RkqPsUo0e/ktRS1gghfhfYAfyhlPLEsseywPeAvyGlfPlux6gN8qjxhbGNOEdmbY4WyhwrlvlgtswWWfGmpJQkLWWFUd6TsbgpvdUOd086NYPQiBgQDsPS4ygFbqgO345nqdeWeuqqEDwTjzM9Veb9WznyMzZPx+O0qRqloFJ1rQJB9a6zODgfRBJVCLpjJi+2ptjQZvHt9fW0V4UxFCHYmU2wMWGRVO8e1g8jyYcjs7w/Nsu7IzNcmyktefyx3no+CSqTqrwwIq4oDPgePVVpzb6ERRxBWKy8V81pi5f3dnJssnDf92r5VWmKgl70GcktXEPR8bk8lie7bILVRNHlqb2dbO9rXGKoL1yf4s33BhgcmVtxPs/xqUsuXbQ8taGRE1e/mNBzuCifbRkafiS5MppHUxSOXZvi6OAsh3Y8nAIz2w2YU0yeObSReMygrTnDa6/u5tjNBy+arPHVRUr5+8BfAv9HIcSQEOK4EOIDIcRl4H2gC/j1ex2j5lnX+MJQhWA78YURmmtwoipP+XRL8026RaRJbCK2Y97XO++zTBaPpNBVgRpKClGl/ezGrM2GuDnvmUkpGSu7rF80vCEMI6Lq7GioRA8iKfGDCO4Rzf/57RzPb2iaD3NfmSpyfrrItoZK1Xra1Dm4p5VPrk0zMV3GlIJNzQl60wvdHopcOp00ZqhE+v3X46GAU5MFCl6AMqkSANlMjGuzDrcKbmW0p6nxyqE+Dt/I8XhPHUIICrbPmcki331mPVJKLtzKMTZdYuDYKFtmQ7o1nWsfj3FyQ5pf+dVt88Z8tfbnpKVTdu6/sHgYxBMmY7NlWrOVhU7c1Lk0WWLbhhZa6xMPVYHs5MA0B5/duWSbEAIztXahn680tZz1PFLKt6kUlylAD5VWrREp5cxa9q8Z6xqPBEIIik5ElJZLjOrJvEO/+PQ3NkUIEit8xwqBlByZKeO5EhRYl9TpW3Sj3p6yOJ6z2WvG0RBsiHT+6PY0u7JxhIAZx2e3tTSUudUweWtkln2NSY6MFFDciBkvRFclrmlirhKSvj5TZltbZt5QA2xsTPL2tcklz2tNWby2p4PRgsOla9N0JhfOLYFx16ejL7v0Nfr3v1G6MqJV19jVmEWoCm4Y8SdjM/yd39q5IqydjBu8d3USVYAZN3jtqX4cL+CNI4Mc6K1neKzI3gkfiQANujWd2asFjp8d5bGdFW/Vi1hSBS+l5INL46xb1gr2eXFwaxvHr09zcXwCBQgVhW8/tQHrMxbHrUbMUCnZHll96Wc4WqWK/etJbZ71cqSUETDwoPvVjHWNR4b+MMabkyW6khoxReFGySfr6J8qj7kW3hgrsDmIYQgFQrg95eFFDpurucSsrvFkY4LTBZsoBNMQ/GYqg1+VpoytUsSUUBV2ofNnlyZ41kiC0NhqCoJI8qPxPN9blBu+w8mJOb7d3E4o5ZIWMF1b3StuS1mciqncKDq0mDqaIjiWK3A58PhfHlsQMjl2fYqNifvnRU2h0FeXqAjWaAp6TOd76xo5c3WSXRuXVlW31MVpObBuybYPz47w2s42VFXBHiuTqvY5O16AZWhkNY1rA7NQNdb7N7fy+unbHOpvxFAE730yzNyFKTx9jJPtCb77K9vQtU/fCbAW9m9Z2ef9ebCrt4GfHbnKt19e8K7Ltoe0HeDBRnh+VZG1PuuHQs1Y13hksITC9jBBYSakgGSjiCEegqGWUmJTqeC+Ywyvl13afAMhBFdTEqmrtOQ0hvILxhogpioczC4d0aip976mQhCwXY2RUFWkhGIYogtBAyqHZwoMvH2DHZk4dhjx3nietBQMZPN0NyQQSmXClwTyo0XGh+xVz+HNlMhbKlNFlzk/YFMyhhbBn7x+icZsDLfk0ZIPUHSd8fu8PyEBMhVgARR9wCcpJcf+8DTZ5P0rtO0mnSAdIwCkjJBhhC6gUPQwnIreeDDo4vz8GlCRcHpRSg7//Bqnrud4NRYnpenggTdQ4Kf/4mNefgD1sUedbbbH6zemiLfXE3o+4a0pnoppOIPTX/al1fgKUTPWNR4pHBlxI3Arg3o0gwb1s31EhxQP0ajQlDaZLvvkpzz2YDHuBMR1g9xLXfzqy5swNIUTZ4Y5+2dnPvNr8KTEuKP3HYYkFQWBwBIqW+IGN8o+MzGfs7NlnrQqQzSOX5qiab+JZaoEmuD0SJ7RosOYYtBqrEx2K5rCnmwSJ4w4H/lM6SqtqmB02mFboAEC9LW1vDnOyvbO87kSfcbqFdFjtscnI2V8W4AmsYyF6vr+LY3cGhumW9XmSw0uBB4HepcaXyEEbsnn+8nkkrSHoSgERWdN1/1VoTlm8AIRcniyEvqPP3gr4leaWs76oVAz1jUeGUYDn9uez2ZiKMCtwGNM99lmfLqcdU4GNPda7KwWaVEPk40eF6/n6YrpXN5Sx197bWGe0/5dnUyVbcrvDhJ/gCEQy+kyDd6aK9KKXpmLXS2TKxKSUBW2aSZnCg4iBEWvPLbPV/n4g1sYWZMRJeLVzjoe29bBz65O0LLKEAspJRNBwO32GC/sX4+hKdyaLHHkjSs8Xn3OmbJDYCnomkrZ9ukXGo2r5GV7FJU3b07xTGc9hqpwZbbE5HSZdYmV77sbRXwwUGKLX/W4A7h8psy53bNs78yytacO78mAn793izoJhiHZsrmRpvjKoi1FVARklgdPvq49yF/X13VPaoM8Hho1Y13jkeG277NNLIRd1wmTq4GNrUfEVpHuvEMpirjsOwgJkYB1mkGjqjEdCzlYvzSE3WQZnE8odFo64/11C8ZCgovkucf7eO/9G+z6DK9DCMH6tMHxfIl2dJxIci102FENr0es7JmUwBbDRHMFsTqD1qpx29yaYvhmgc7YUi83JgQXTfj1gwv548b6GC8928vwu7fJhQGb19UtMZI/vT5BNlJXzG5uMXSyUcTh61MESDpUjf2rGGqAT6bKrPesJZX8mxyDn/7nKwzvayLdlsQr+7y6o5Wu5L3z5fu663nv+DD74wvncsIII/XwepwfBpGUnJ4s4AQRu5pSxFeZ313jbsjaPOuHRM1Y13gkkFIiVrFi6zC5Ebhs1Vc3Hp6MOO2W2U2iEk6VcMWzkYZEiLt4M9XtST8kUiW+rGyLqYKR8RLZSK5sPn5A1sVMuiyD/zIxS59u8kImMX8tp2yHvc1Jfjo+y23HI6up8+ppp32Pl9sXip/8cKXnCbAzFeeDjM6cH1ajzRJLUdjckeV1/TZCVVd4s8+sa+D4lUl2rWKITUVhz10M9GLcQJJeZeFUVxLsnvRp6TIqcqWrIKXk8nSJiZLLpsYkLQmT3v4sR2/OkQ2ghCRM6by6cWW++uR0gZKuIIRAcQIeb0zdsxUvjCQnRmdxvJDehgRd6U8XnRktupybK3FwXT1xXeXo0AxJBDsaU/ffuUaNh0jNWNd4JBBCIFe59+ZkQJ24+8f0ku+w446hrrJRxDgflOkoawzkbfoW3ajLfkhQCiEJzoVxvEN9ZKseYBRJjr55icc/Y578DooQ/Gpzlo/zJU6UbSyhMBr49NbFeG+8wG4ZY9B2GcTHliF5A355dzvWoirwK+N5DllLjW4kJR/NFimnU+iqIATU6rSuYtEh5ksCc6VBjanKYgnzT8X6rMHFCY92FgzybOhTNsJ77AVOEPLG5XG2J2PstywujhS4qBZ4rq+RTU0pco5PQleXtK/d4fBUgY3bmmnOVv6OJSfg7WNDvNi8ejX1tO3x0bUpDtanSCZMrk6UuTZZ4vn+xlWffy8uzJV4ZWPL/O9PrGvg/RtTuEGEeZdq/RrLqOWsHwo1Y/0NZSYKGJEeJgp9yv0FQz4PIlkRLLFQUIXAVAWFMCQlKjfsUErGFI8ntOQ9jrEgH1mQIUOKi65ATnp0S51L14tMtHlsrI9zu+AyMGKzX60Yv13FgA9/7yO09Y2opkZxcJqdE/bqqh2fEiEET2SSjPo+QymVfW1NXJos0paHtKaxO77wFTweljk/mmfS9dGEwmiuzMZVXPxjcyUea0hxtRAwNlGkvy1DKQxJGCp/9PNBvqvrHLWdFRO9zueKrNM/21e+M25yrdljaMIlHaqc88qkFRV9WvAvZsfpGC3S25Pkpa3NS8790c0cLzRk5oembM3EGSw6XMuVWF+foCG2ujceRhVv+46hBkhYGs0daWYKPnXWymKtk0OzvNi8oIu+IR2DvM2tOZvuzNo97EjKVXuv93RkuTA8x57mtUucfmOp5awfGjVj/Q3kfFim3lTZr8coyoiTdonNMkZCfDG5uEBK3vcKBB40SQNXRMQNwQ7D4qLvMBTKSkpUhd16jEuhjSYFfarJbcUjTAp0TVAshgi3Iuohgdu6w8F4HCEENhaDnkvG1YjdlJwYnKUOjS2KiZKq3MSFEOx0Iji3SOZSVfhktsycG0EEQocDdTHi95AKvR9SSkayGt+rTnWanHHoSWvkyz6JRclfQwoOGRal2YAIWKffRUlLqUzx2mlZDBwZ4Xp2CtVUGZgs0h0IQqmwRdX5g/MjvNTbSMZUOTtVxJlx2Bv/7MpZz7WnmGzw+fPLsxxQkrhhRAKVjTLGuQmbZOTzcznBK9sXPFIRyCXTzQB6khbH5sqsX1ZXsJiSH5JJLbwPNyaLDE0U8aIIpbS6sVajlQV5G9IxjuVKD2SsBZXFwnJmbZ/0Z1z0rIWCF3BuzqbOUNmUjn1FC9RqgzweFjVj/Q1jMvJpMlV6jMoNMCVUnoonOFIqs1Pc/aZ5h1BKzoU2d1qNIwnb1diaPfMp6XNVLdMemXSqJnYkiSJwnIhrisvWRZXfQ5HLTdVlu2XhScm7boGX+urouRO2lpIfXJ/mzFQJC4VD8TggKMsIS1HYasY4WiqzU9HpFmuTkDw6W6Le0SutR0olNP7ORIlvt6Y+9c3yhuezZ1HrkmVpFEOXiTCgVajEqp68rDr0iTUIgggqhWobDQPKEJUCokhBKJUc96m5Mi8mY9y8kaMUSbIIIhlVmpwfApaq0I2JEGBKZb7grMHXGHM9ckMuLDLWkVhp9FYzhMtJGSq5GQd64c1Tw3RpGk9kk4zlbY7NFehMWmTMpQY7WuXPVApCzAcsDBNCEPkhZT+cLyqTUnJ2ZI5vdTc80LEelONzZZR1DTz5wkYmZ8q8cewmT2gqqc9BZe3rghBCBY4Dw1LK7woheoE/BhqAE8DvSCk9IYQJ/AGwD5gGflNKOVg9xj8GfpeKcu/fk1L+7It/JatTS7p8w5iQ/ryhvoMQAuM+Qh93OBWU2WFa7Dbj7DbjbDMtToflNZ9/UveoFzpd0kIgiCsVA5NEYdZbyHuGUpJXQvbF4phCIaWobGiwaEks3JgVIXi6M02XqVPUQnwhcUSELgRuFFGOImaigGJ073zqYoq2JLsoZ60IQS8W1213zcdYjoQlymRCgZN+iWxScFv1OOGUuO46rEuvbUFxx8jZ3kJ/9Om8zdaGJIW8y4wX0KxrJDSVLTGL/YkY6xMWblW3/GEhgVAuvLaCDJnrEDRsT7GuN8UbNyaZtiuDRRRd5fXxWQ7nSxzPFYmk5EiuwO72e6t4CSGo8yJeP3GbXkOnP5vA9UOSqsJ31zdzcmKlnnh9ymK4vPTvdThXZN99zrUaz3TUcezGNO8NTPL+jSnevDLBE6uo0D1McraPub6Jg7s60FSFtsYk3/3WVo67n7Xi4EtCRp/t39r5+8DFRb//r8A/lVKuB2aoGGGq/89Ut//T6vMQQmwFfgu4M2/6X1QXAI8EtWXaNwxFClwZYS6r6A3XcA8vyZA6Ta3Ic1YxhUJCVXBkhHWP9iqoeCWREjHsBkip0oVBUUZcjWx8CY4fcdQpsceMMxx5bFhWzWzqldz24lxsvanjaNAaVXqaNQSBBAsFKSUxX+WUa3MgEV9y3Xe/yJWbGlSVG57P+k/plfYaOp/cyPGtba3cmC1jzbh8p72OqYJLo6EzFw+5aNs8Vo0YeFHEgO2SUVXarJW53APpBB9NFcgYKklH44brEekKhcEcewyT6yWHDnNleDiuKPiRxFzjwuxepDQVPx5ilQxKQaW1bqZT8OuPtZHSVVxVkk3ovHlrmk31SeIpgwPrG4mkpOiG/OG5Eb7d20h6letczo66BDevT1Df10Sh5GIIMT/BbHkbGsCe9gy/GJjko8E5TKEgDIUXNjTdd1ToaihC8ExH3QPv91m4aLs8t2WliIxRn4A1aL0/Uki+kNYtIUQn8B3gnwD/najcIF4A/mr1Kf8O+B+Bfwn8cvVngP8M/G/V5/8y8MdSShe4IYS4BhwAPv7cX8AaqBnrbxjrVYtP7DKH4gsh78kgwAyV+7YrFaNofo7zYhJCwYnub6wvSJu4ovJL2QSTsZBzxRITxYD2pMa6mIYvJVPlkCN2kQ2mRSkKyS7KFZeckIilw7quFhyaQ42MqnK0XGKbaVGnVI51pFxiXRjDQOGy57DVsLjsOygFyY6UQVdsYTEwF4QUw5BQibjuOEy5Iaoq2Bm3GAhddtZ/+klMihC0zHr85NwopTDkSc2i4ARkdRVVCFKGyrBf8ZoulR1sS2FbZ4ac6/P+ZIn9ljUfKoeKgXqmLsWMF3Ct6LArZpDVdPSq4VoXM7lcsNmdWrq6KIURxj3kWyNZqRVYLdwvpeRy0WHOD1mfNGkwdJ5bl+KdmwWCQFDwAx7rbcJUBbaISMd0hBC0xEwuzZV5dfNCSDxl6fzyznbmZteuVNYYMzAQmOr9F5kXxvOYxYBfaswihOBW2eXSWIGn+h7eNK3PEx1wvHDJLHEAGYSsaVTdI8VDyVk3CiGOL/r996SUv7fsOf8M+O+BOz11DcCslPJO+Ok20FH9uQMYApBSBkKIuerzO4DDi465eJ8vnVoY/BuGLgTrIpPDxTKf2GWOlcsM2wHr1fsPfGhSNEaClaG46TAkc59o0WTk0xrT2Khb6IpCvaHyWNpCJCOeqU+yJWaxOx7jhYYERT2kUdEYcL0lQwAyZcEvRmbnx0AOl12u3i5TLzRUIdinJHhnrsiRuTLHZ236nThxoaKJSpX5R6USDbZJZynOtRsRb44V8SLJL6YKXMm5zOVDLsx5jE5FNJRMEnM6fzo5x6B0SGurr2u9KKIQ3D/M3q7p7ClK3LEywgtJCrEkNA5QDELCuMZT7XXUmTr96Tiv9DVy0llp1M6XbAZkQG9riildcKxUng9xa0LgIbnlVELQUkrOFW2aLH1VQzzlBxzxXS6YkjNaxBHbXjLz+XLJ4U/GZ4gJwfaYyWjJ4+hMkYyu8cvr63hpZ5LdWywsU0FPqNSnTfSqUVXE6gNJ2lIWU87aw7p7W9K8d2uplvbgbJmG5QZNSobGi+xIxedfa3fcJCh4FL2VsqqPInsycd47cmPJtpmCiz6zuk78N4ApKeX+Rf+WGGohxHeBCSnliS/p+r4Qap71N5CsopFlQbt5rQIgihCkULng22zWLCRwwXfIoN63+GoCn4NGxdMrBxFCgFShJ2agsOAvKELQbml4vmSziPFxqYylCqQEL5T02xY/m8mhqJBwFTazsMhQhaBFMegPKpWzBRlyOSoTSMmIcHmVOpSq99+CwUTO44fRHM/HU2hCcKnssNdNoikKMUUhDjwvM1x0i1wtO2yIL5wrlJIjtk3K0okZChdsh3YUusy7q28JIdgSsxh0XNYvOtaMHxDXFC7ZLk+vX9oLrAhBzFr6NR13fWJJg/11lehIV9yklA15a3AKf06i+YJISG5qHrfTHqoQ9CdMmle5NiklV5WQ1xb1EnthxNuXxjlgxbjgeQwZ8FvtDRU97zCiRwhuOy6jjkebZZDRNXZnkhzO2SR6lxZejZU9dHPlB2yi5JJ5gGIpQ1XY1ZTi7RtT6KogkJIGU2dH01JxEi+UWKusndbHLK7lSuxuffQnXemqwuaSyxtvXMSqixN4AcpUiUMPUMn+SPH5t249CfySEOI1wALSwD8HskIIrepddwLD1ecPA13AbSGERmX82fSi7XdYvM+XTs1Y13ggelWTkgw541ZW+X2qRXwNuUBFCnwp0YXAQgEJQgpC5IrAnhACTQh0obBbJFYsKjYFKtzFSdpomJwNy7SGBuORzwYsPCFRIigLSVJU5cqAZgyu22W0ROX3nBPSRmUSlyOj+dcVD1Um3YANi6LKx22bJ1ozC/Op0/DhZJ6WSN4z1Nxh6lyMfD6eK9Jq6OT8gBA4WJ/iVLGMF0msZTnlaJmi2qDn8Wzr0tnPMVVheCrgRTU5/9wglFx1XPY3xykH4ZJc/6U5mxtTHuO+zy8/1bFEAtVQFcyEQRRIgqxBc9Gb389UFXxNYX3M4nipvCSn3h8Jfn5ziu5UjEhKbhcddjenyXsBZ8by7Gyt9CV7YcSxmzO8tu7BKqqb4wbN3Quv++xEnnerk6s6Mxb9dQl0VeCs8vbfdjx6v+Dc82ehLW7SBlCuRh+yD6mM/4vmC8hZSyn/MfCPAYQQzwH/UEr514QQfwr8OpWK8P8K+MvqLj+o/v5x9fG3pJRSCPED4I+EEP9voB3YABz9XC/+AagZ6xoPTEKobNce7ObRr5icKJU5mFzIlc+FIWOejx2LMFGQSBwZYfvRvNDJg5JWVfYnYvy8mGefTBEJSAoFQoEpFRwp53ubXRmhLjKMmlrpAV9+7kqEf+k2TVcXDHWV/Q1JTo3m2X0f2c6d6TihlOS8gM6EOX+crXGLj0dneb5zwSCVg5DQDSuJzHtwPldiG0tTGQqC4UkPd0xgRoIjcZudXRZeKBm9FdItLQJFkBE6c05InbWwIlBUQa4c0NqVZqi8NFxt6gol10Nb9j416Trbe5sYLbooArZWvd7mhMmtvM27Vycr73coeaWr/jP1Db93M0d/0mRra+VzeHXW5uTYHHtaMyQzJlNuQGM1RF4OQnIqHEx8NXLWNR4a/wj4YyHE/wycBH6/uv33gT+sFpDlqFSAI6U8L4T4T8AFKu7A35FSrr2V5HOmZqxrfCEYQqElNPg4X8bUKkWtWiDYLVKcLNp0xXQ8KRku+2yR8c9UR2MKhRbFIC4XjE9KqEzLgLRcMLADpk1PSp/3+HemYvyiWKLHj5GoGtAR4dKUVDC1ZQZ8letTEaz1m60KQdOySmhDUejwBb8YnCIT13GCCMcOeHyZ8e8zDc7MlNhVv6DsNusF6MscmLwXkghUujFBQIsNJ2/aGAasl5VjdoUGh2/O8Fx/A3YYEVMrVfSlok9GN7gy51LXGGdywqGpOnLTCyJOFG2ebFpdH7studIodqdjdH9Kfe7lzDk+phC0LjK+G7Ix3huZQUrJk70NnBieZWDWBiRGTOdbW1vufsAany8P1n712U4l5TvAO9WfB6hUcy9/jgP8xl32/ydUKsofOWrGusYXRqOi04jOgOMyF4QIJDFdsi2MM5b3MYTKbsVcUfYYSsn1wEUA/doapVEFyPkQu6BHMbkS2gwqPs2qRiINzzXHSWsqH8wUiYUKOoJywudw2SMdabhKRHtKIa7rHEgujSQ4Xkgo5ZIiseMzRbZan8176zANOgA3iNCFipJYmme+VnKY8AKK+ZBTkwV2NaZwowjHCZhQfBoWfaWjUOJGcsn7uc4xORoUWC8qhlMXgvKAy1tymn39GWaRfHJ7lq1CRVcE7rTN5u0t3AglN6bKBF7IcMHhqUxiRWThi+JWwaEvvbIgMqlp2EFEXFfZ15F9hOp4v8nUpm49LGrGusYXymnHJuNqbKgqik34Hpcsly3G6tXoI4HPoOPRG1pEwMdqmfUxgxb17nHhkdCjpPqcCyTrZeW4JoKyEfJSPEU2rdDUvGBonm9IUQ5D3pgq8Feb6irKVVJihyGvOyW660zOKCGOE9CDSouhs9+yeHtkls60RZ2hcTVvUxdCzHo4BsxUFNwo4ly+jC4EGxMWPxydYWPKYlcqhgTiqsLPpvI8U5ckkUlyWdicmbDpinQcIg67ZfaLpbrqkZDoOkty/m2Bzshlmw8dm764ySHLmA9R7zVMLpwZx42raLqC6Uf8WlP2S5W+7EyaXJ8sUb9MarQUhEuGoNR4BJAga8b6oVAz1jW+MBwZEXhQJxZuss0YXPLKhLpc0cokpeSm47EtSsyHxbdHCS7YJVqSqxtrR0ZME/BiPMOUGTDgukSRZDzyeSWeXnGOO0z5AbusBf1lRQiuyoBf2dBMs6WjVC/gF8M5GqTEUBSeTsTJOQFzJYd9poGir37sW7bHxSmX0BeohmRvd5L2+L1nNl8tOeT8gD2ZOH4keX1iFo3KaMzKmwPFMOL5hhSXig6703E2pWOsT1lcKzrUqxr94xHW1NJK7CHT5du9GY7fsNngWyhCMCcDvIaI7zRkV72WrZZZ0TYFsL78W0ZdzCAf5sk5/rzBHio4JCztUw2kuTFXZtjxabd0+jJf0UKuGl97vvxv3pdEKCWj0ieGQoPyjX0bPjeuBQ62qAzYSKPSo5pMhQH1Ul+Rj05GKmUZzU/busO0DKgLF54fEBGqAkuonBc22+TKHOi10GV7VV+8UdVIxRSuei65sKJudjd8KVeouikxjdQyPelDLRlO3ZqBQFL0JRJJ1lRRVlEaAxh1PM7f8lkXVo2AA4evlnl+i6DOWH3BEUrJpOfzZH0lJ2wo8GpThp9NzC48SYAuBboi8BaJTqhCsClVff3rdH4W5ZFzAi0SuImIx7vidCdM6japfDJlE/iSlrTGoczKlqYpL+Cm7dJlGTSvQWnsi+T5ngaOj85xcbaMBJqSBo+1Zx/oGJGU/Hxijq0bmniuOcnNqSI/uzzJy82ZL2UK3deWmmf9UPhGWqnb0sVPRmxJWeSDkHNzJdZ7sfsqcNVYG2eDMj2GQV11ETQR+lwKbHpUk/PCpX7Zx64kQuJipbEzUfBFJV7rC4mR0EjrKnOqZP8zDRw/OsmG/NJjRVLOp2gHPJecH7KBGCmpcdQps94wSa1SWt1rmbxfKtK4aJqSolBtaVq4cVuqwsWCw5N6kt6qmtuUF3B0tsSB7MpBKOemPdaFSxcV/Z7FJ+M2L3atbgBvlF02JhfSAnfSzk2mMV8EBhXBkduOR+Nd+pVNReGX+rOczZeZdH0aVJUh10NVoSNm8mzb6gViUko+mCnSZGjsSsW5YbtcKjk8XZd8ZCY/CSEe2Dgv59hUgWf2dZKqeufrGpM0pS2OHh/mYG385cOjZqwfCt846+TKCNKSp+qTNOgavTGTl1tSXNfWLn1Y4+44MsJUxbyhBmhWdUIh0REIQ5KXCwnTHD5xY6WaF0BKUclrQUWZyxDEdLVijJtV+usSbNxeR35ZZ0WvanLZdyrSpV7IFhFHExCv9mwP+KsP5FCEoDdpcLhUYtIPGPY8ruZtrGXXdXgyTwc6mUUyqI2qhuNJ/FVuSqs1fgghCO8hppXUVArBYm+5MgJISMkHU/l5T3rI9hgouvTF764+N1ByMIHn6lIcSCc4lElwu+wxew81r7MFmx2pGJuTMTRFsCFhsScd51R+7QNbvgqEujpvqO8QNzRC4xt3W/zckPKLnOPx9eYb96kcxGVvemleShGCVOwb91Z8LkxFAc3KSo8xrVRC3XutOHY84KpW5qpWRsYitpt3b+nZa8W4rJe4bNpcNR3GuiO++1hlyMG21hQT+lJrmFJUFCn4hT1HlzDwZEQpiohVP+p6pCyR0lxMt2XyTEMST48wTMH30kl+cXuG27ZLMQw4MjnH9IxD6yrFbVmhkg9XWmbdZMX5XBmRjN/989Zq6gyW3SUTsoSA60WHHZrJkbECfzw0xU3b4bmG1b3jO4w6/hK1NIB96TgXi3eXrrSjiOyyec0pTcX7/JWovlCCu8jEhmHNQtR49PjGhcEVCQEVL28x8mt2I/qyaFQ0BkOXRnXpRysfhbRXQ90bdeu+Ih93iCkKB+NJxtarfHt365Iw7PXpEvXBSqO3XrMwUMh7IXFFJbEovRGKlYppi1GEoD+2MP2qMOny5pCLFAJTkfTVG9wOfZKaiqAi0KQhmJEh27SVHu4TTXF+VC7SU44REwpFGTKa9fiVpuw9X/eBTIIPcsV5NbRASn6zq5GLBZu4pvH9THpNrVOrKckqQiwJ7S9neYBgqOxys+Ax5Hk8lkmgCMGY43Gt5KKLivRnq6XTn7i/vvyjRJ9pcHowx66eBRGac7dm6LlLLUGNT0ktDP5Q+MYZ6z5hcWSmzHMNCy0tfiQp2bUP1MPAEgphKJkKg3mDPRp6aJFA1T59vtO77TLYXaa3oZIXLnohp8/m2HiXj3C3ZvCRX6RDGvMFap6MEAprLh56f7LMZi+xROXs1FQJOyPpJKJNryw+LjkOvhatGso3FYVf6UlxctZmwpVkLYXvd2Tvew0JTeXp+pVe855V8uL3IoQV/eCzVS3yu9FlGVwpOWxMWPxiZI5EQaFF6CQjhb+8Psu+1hiDjsfTdQvXd7XkMFBy+CpJj3SmLOzpMm9ND6FZOoEb0BIJur+q0p6PIlJCLVLxUPjGGWtVCLJFjbfCAo1xFSeUzBYjNoexr970uUeUbVqcG77LUOAhJdQLjXqhcbRcRkQgBTQaKn362gVEuh2Nc+9OcKZJR9UE5SmP9bZ2z7/ZLjPGWa+MKgWSSsHYHmPtKlqBwwoDbGgK3+6tY9z2OF+o1Dl0tVtEc3c/jioE++sWDMBaFgujtseFqcrxN9WbdH5KqczH6hK8M1VgdypGg64x7HhcdVyeb7h7AVVnzOBy0eHPR3LUz2ikVQ2JpF7VUF34D5dz/O0NTcw4ATFdwVIVNiQsPpotfqpr/DLZkImz4c4vZk2O9HOhFrV8KHzjjDVAk6LT5Oo4TkQGQYcQNUP9kOnVFm58pSjkXMlls1wwWOO2xyAuPQ9gsDtCHcagEnxe2QK2nISicsB6ME90MfJOnHsRilYphtuQjrFhkXzmeHH1wrUHJZKS45Mlpm5HdEaV9+bcpMdIp8+B5uR99l6JoSi81JTmUtFmwPFoNjVeaLz/5KlNSYuJos86YyEyUfBCtKDiZVuiUipvexFGrBJWX64VXqNGjYfHN9JY36HWqvXFcMVz2RgtjVy0YHDFL9PzCKcHrRh4xQhj0edk1PPwoojEotpMKSWuf/9hG3fwiz63bi4tbpJScj6wCUUlLROGELjQhkEDOpevlclM2J/aIBooNKIQAddZW+dDzgtoULX5wSZ+KDGlgutJZr2AjKahozBXDrEQjI95fPSHNz/V9dX4miJhzYL5Ne5JzVrV+NyRrB76FY94dOypxgSDcZfL0mYwcrmglnm6KcbR8TmmnMokqnIQ8vPhWXaYn6246lLg0GuY7DJj7DLiPB5PEMVCytXer4ZQZ+Je/V5UvPKJ0KcUPZy740bd5Iy/tF1rNPJp8g3euVVi3PMRQCEI+elYnv7oyykwc2TElcBhPPTv/+QaXzxSfrZ/NYBvuGdd44shq6rMyIA6sWjIhJSP/FJRE4KXW5K4UYQdSTKqghCCPim5MlXiEhIDeMKyPnMI2BOStKJWHZEIHcE20+KIa7MpijMnArrUu6cMbksPJxbSkzSY80MGCi6bwxilKOKS7UAoQIEGQ2XDGnOzhlDo103ecwsgJTNhRNxTeExJQwkuXPH4qZmnU9fYoca+FNWvK6GNZsKOtMlUEPBJqch2EV8SDanx5SLDmsF9GNSMdY3PnV7N4KhRxvMjWjAoyJDrms1B66tRdWsqCuaie78Qgk2xh+tFikX/i8rIZ1QhEIAtIyIrInYXA+TKiCAZ8XS2ktPuMmFTQvLWSJGZomRHVM3bRzAZ+FzFXbPBHgsCOkOTVmEgFcmg7vJxkGcrcWZFQL9iskH7cgqzZqKAVEywufq36DQM2nSdj2ZtdoqvxmerRo21Ult+1vjcEULweCxBKi64YZRx4gHPxBMrtLi/yUhZ0ScHiCsKoRJxIbApipDpuMuB2N2Nz4B02b9sAIUuBJEh2bRM6rQJnWlvbWHyUEqKfkRrtT9eIOhVLWKq4JJWQlFhJgjJ3Sc8/3kxLD02LRtJqgrBXdRXa3wZ1CTMHhq1j3WNL4w2TadNe4Qryr5Etmsxjjsl2nS9IiwTeAgJL6XvrlAWSsl1XIbxCGWC5UO/IilXDQeLNd7/CjIkvUxWpRSFhAHsJompVB67HJTZmhRLJFi/CIQUhKy8idXSnI8YtQKzh0LNWNeosQbOF21mqx5p2lDZkVx7v/ZaUIXggJEkFwUM+z6disFIXcR4o0IYQXHCZb29MAJyJgqYykY81ZpFIHl/cpaDiQSmrFZuRxLHlUzg0czCkBQp5Zq/9SmhchVvybZrocumKI6+SFRlYxjjsmtzIP7Fhp77VZMTRZvHUwvnnQtCCMTq0m01vhRq6pAPh5qxrlHjPhybK9EkdXqMSsg1FwYcmS3x+AOqia2FekWjXtG4VB/w/QOdaFW50ZIX8pOPR9hYqkQmJhIhr3TUcaVgM1b0KASSn83l2aJblIKIiWLAAZHkE9NGupVWOUdGXNHK7LMqC41SFHINh5guCCUEPmxTFgrFVCGwNMFMsFAc6EcSRVk6iUwIsWZv/WFiCYVsoPPhXAlLE/gRRD5sVR7uQqpGjUeBmrGuUeMeeJHE8yVN1sJXpV7VuO342GHIkOdTkJJNpkHyIYWBZ2TAjvXZeUMNkDBUGjrihJc9VCFIxlU+nMiTLipsUk02YTIQOLwzVeBFI0OLMJBIek2dnBYyGJaxFMHTRmJele2ysHkuk5jXW3eiiGOzNjvVBU91hxXjqudyKah42GUjwPCWhtbvVPZHUnIDj1BAj9S/kIrsVkWnFZ3Ir2i+C7UmzPJIIalUS9b4zNSMdY0a92AuDJeM+7xDo6ry02KZV7vqyOoap2dKBCWHHQ+hSrxAxLbkyvneqYSGh0sMQd4NiXuCZm3heetUiwHhYiGYCH2G8egydJKRIO9HrFNi84Z6NPTYnDSXDEaxFAVDr7TaLN6+wTC5E0n3ZMSHYYmtYRxdKARSckErscEyudkqeaanGVNV+Pj2LP5tj87oi6lR+DLaxmqsAUltkMdDolaOW6PGPajTVHLRQrVzKCWFIORs2aVe0wjDypCMvfVJ9KRO/i5jFx+ENnTODOVXbB+fdObbt0ZnXdrEUkNY9EMaFQ1XRgzjcTCeoEMz6DNMnownuBwtKJeVZERqlWEeWkVF9K4YQuGpdIKxuMuAUWY4ZvNEKo7TpPDtDU2kdA1DUXi2ux7Rpt91HGmNbwoSGX22fzUq1Ix1jRr3QBOChKEw7HtESEpBxKwfkohUtnsxTt4sMuVWQsS7sgmuuJ9dI1wXgtKgzZHbs0RS4kcRb12bQh9ZUOjaK+JcKzsU/JCiH5J3Q8xQ4ErJeBis6KMWQpBQK54wwDrV5GJ55bXagVx1etjy69tlxdifiLOn2lLWVLey13p3e5phWVMVq1HjYVALg3+FCKXkGg6qCUEoafB1mpSl3pWUkrEwQCJpU/Ul4cwan4496TgDtsuPZuZoCHXqVY3NZqWIaaticWaizAtdBnYYPbTe8XW+Tv5UiT+7lAcpWefpWIsU4LKqxjXPJfQl8epc68nIx6QyaGQ1fySSkjsfB10IdE/lk5LNzriFKyUnizZtofnAldQqAsdf6Y/n3QCrNiGnRs07fijUjPVXiHN6mRdakljVm/PFos3IjEd7NaE4HQZcsl1aQgOB4CO1zMaYQZO69rxhICXnPJswrEydWmfoD7T/15W+mMlIMWCzfqeSOiKSEkUIwkBiRxEfTeQ5FHt4al5pRSXtVS3nKjZvrx7nou8QIpFUWq3+/+3deYwe93nY8e8zM+/NJbk8xEs8JF4SKVG3LNmyq0S2aslFnDRAkDRwlAMQgtqohbpohDpI3BZokx4G2qBIodZCHcNw3cB2LDhKJVmWGjsxBdESRfEmRVGmqCUp3rvvOcfTP2Z2+e7uu+SS+x7z8n0+wGDfd9553/3t7LzzzO+Y53dLpoCq8matwpLS5PSulUgnzSl+k5uj5ke8fraGh7DFLU6au3u2XBFOf1ilsWoB2eTYVFV2HbvIZseOnYGmWFN2m1iw7hPHtcHdiwsTgRrg1nkFXq2MQj0O1gdrdW6LShMn9iVRhj3VMktK3qxq2KrK31fKbAniwUMAR4MajYKyyps+4GnQuB74vpIRoeg4lP0QX5V3wzp8cJ6gEbCnoWxr8z3YM3FE2Jq59Lv2R1UOehU8B/CVF8YusD6bx1flbBCy1b207cUo5N2oTsYBnzhwX6n5+3I2l7M8/+ZJ5i/K4jhw4bzP6guudbQZ0yYWrPvEqAQsz04PArmMA3UYjULmhdP/nYvDDGeikCXulf/VR4IGNwX5iUANsE7zHKhXLFgD9ywo8sOTo9zhFsmJgx8pB6nyq4uHKHkulGBfucZpP2BJprtfrYNhlS3DGYabfu9rFyvkaw6LxWWtK+zxqyDxLVpjTshn5s9HRIhU+ftyma0Ur7kZ3xXhlmoWjsfPl5OxQG1iVrNui459nURktYi8IiJ7RWSPiHwxWb9IRF4SkUPJz+FOleF6Mj/y+KA+fbBOPekrdASiFj2VgSjeLCtMo2HIfJkeZNI+lWW3ZB3hk8uGOJ6tc0CqvC5jfGplEqgTtxRzHKnNfZDZ1YoyOilQA9wzVOBD8Sk6Dj/zy2zJ5bkzV2Rbvsgd2SL7ksFwjggPlEocCmc3z7UxszZ+69ZcFgN09to3AL6kqluAB4DPi8gW4GngZVXdCLycPDdXsNLJ8taZKpXw0kCe3aNV5tXiE3RJXMa8cFJqP1XlvBuwsMV9wq0scF3O6/RJGdRqSBOyjnD/whIfW1Li5lKWnDMlQQjxhBfd1qqr2UsGmp0KfVZ52YkkJQIsczOMNR1Lngg2FtF0RDTHxQAdbAZX1RFgJHk8KiL7gFXAZ4GHk82+DrwK/EGnynE9uS0o8trxCk4WggiWBt6ke23vzBfYRYVsECeDrGcituVmn6RjnZflJ16ZQhA3h6oq70qN1dn0DRI64NeoaIQohKJs8QoUnO5eVWRFuBCELGiqWb9xscLWYnunz5yNmh/fLdDc73y4WmeZZjgZBdyavVSm8cs5R+MLOhHBV7UJMIxJsa50rInIOuAu4DVgWRLIAU4Ay2Z4z5PAkwA3zLJmeL1zRNhEIR4RBNNGCJcchweLJRoaN4hfbf+jiPDRYol9jRqNUIkEbspmWTyL/u5u2udXWaoZ1ifHRaTKDr/Mg9lSV29Vu6tUYMdYlVAgJ0ItiliZyVB0p+93VWVfucbZWoTjwGLNzjg/9bXYLHleOVtmy1COpRmPfZUaoxW4xc2RFYejQZ0NmThg53AoRxEBcaAOVNleLnO7a3NAX8nPPR8WZ/A8YfRcg5vLHhlrkrgMa8pul46fhUVkHvAd4ClVvdh8MlVVFWndI6qqzwDPAGzy8vbfvgpzycnsinBbLt0TIVQjZWHTBYQjwkbJ817YYJ3XvlunrkREuG+oiKoSKGScmU/aL54aY42fZYObJVTldb/KGjc7q4F/s5EVh7uYx8j5Bke0xhony6pkCsv5jsvheo1j0mCJ55FV4Yhf50wY8PpohUjhNrfY0VzepwKfikas9rItR50HqtQ1oihOanMDHM363HnfUtYsiC96gkj5zuvHufVMui5mU0WByNqy26GjR5mIZIgD9TdV9bvJ6pMiskJVR0RkBXCqk2Uw159WOTsWiMuINlq80nkiMm0u6WbvVOqs8DMMJ4HZFeHubJE3G5W2BetxK9wsK6asOx35zBt2KOaF4/UGx2sNhkKXX8gtaOvvbqUSRewoV1gcZCmpy3anyvKCy/okw1qkyl6qDOWFkufwfj1kqO6x0k3f3QeZ5bmJQA3gOcKDty5mz09Os4r0dRWlgWL3WbdLx4K1xJfHXwP2qepXm156DngC+JPk5/c7VQZzfQpbBMZ3tc46t3u16qtxohaw3p3ej92tKZdP50MeWTo/fjIU/3jtXJn6hfZlXJvJzmqVLX4pnmhDYL56HKhWuDEb/+79WuXBGwoTWdgowWsXKtRqEfkuzNp1NQqF6f+x1UN5fupGrJp7SnhjLquT34aPAZ8DflFEdibL48RB+lMicgj4ZPLcmFlb7WbYGZbxkxFRx6I6vijz2zRFZbvN8xzGouln826c3yNVSvnpVzfb5hd4L5rbLWaRKicDn3KLv21cpa5UooixMGQsDKlrxPqoMJFDPZuTS4E6cc/8Au9q929/u5KxC9NbbnadGGVF0Lnj7oKGHMg1ODoUsN+tTxzzfUOx0eBt0snR4D+hZZJEAB7p1O8117+lboYFjsuhoEaoyko3y00prVUD3D6U569HR7lHixNTOR4LGixyOn9xIUCricDOBgHz5lC3f89vMFILWKweJ8Sn7NS4r1icNNjqmN8gDCHf9HsaYUTDCSfm6m7VPe1AkkA1XXInA/7fkbN8/KZhHBGOnq9y6MAFNklnmsDPaECwyuUzK4bjEftRxF8fOs0tF1v3+6eVNYO3h42MMKmmqrwbNqg6IaHCGsmy0PHIijMp1WaaOSI8srzE62erRAGoKHk81no56hpxOKyjoqyRHPPbFMDfDxqcCgJE4aTvs21hnvnepdHzu85U2XaNo7/rGjFSC9gqxYnL8TBS3qxWuL9Ymtjug3oQZ3rTiEzSiJfFYTujfCYTN8tX64qvOinIv1WusYb0XXwt0wzlvVW+e7SMmxHyo8qmDvZVnylFfGbl4onnGcfhU+sX87dvnWGDpm//tGbTXLaLBWuTam9FFTYXcgy7OaIo4kf1UeZ7LkOuQ9VXVga5WSd96aWi6/IPls6beP7z90JGwgbnMwH3DhVwgb21OqfqPhta9G9fjSN+HQJhqxMH05ujkG8dPseti/O4jjBWjdgY5Gdu97qCg416fAthE1cEnTKYwAFucwrsiip4KmQQqhJRzMhEzXAzBX50eoybSlkWZ10OjjWQmjCvC60O16LkuGyqudCFZG+t+shLngs56crvN+mS/rOcGVhnooCVuUujqPdHdT65ZB6eCIWkpvbK+THmjw9g6jNn3IAHS5dqt1sLeX4WVWiE0ZxuozobhNzuXPrcvLhs1SL5i8IKL6kJdmF35Tyh0VDudEuEqoQoDZRy7lLa3IwId+o8zl0MOBKFrHHzE03kg65Wnd5/UQlCtN5HNVWbdatt0jXc0pgmI1GDNc0TiHjKAtedFGfuG0rnYKQr8VUptsgRurmQ41g4t1vQnBbnxhWS4VQ4Pbf8tdiczXGQ6qR1vipTGzhuy+U5kq0yQgMH+FB8judq3JKd3oQ77His8bJ4fXjR1SmLyg5/98GFiRTCfhTx4pEz3Byl77a2y9FI57SYmNWsTWotEo8Tgc/ypDY4Htuav75Fx6Heh0NGXaDRYmTvmSBkgcytCThqEe+Oq89Krz39q1lxWJX3eLteZjjyqBJR9yLuy0/uA3dEeGheiZOBz/tBlVVeliVdTFrT7xaLx/njAT848yH5rEutErAx6LPBZQraf1/PVLJgbVJrpZtlR32MxW6c0rESKPUowmmqW++p1lM5GOlKHBH8BpQLIaWkfzZU5d1qg3vceVd49+Ut9TyOBDVuduK+71ENOSM+673SFd45e6szWW70MpzXkLxkLps6dZmXYVmbLhQGzULxWFj3oA7gdaX7wqSTBesBV9cID0nt1fpdTolXR0e5GIXkHYcXwjE+saBExnHYXalRrsDylA5GupLb3AK7L9YQVxGBeqCT+pqv1dpMllPisyeoIMStD/dl2p/3W0QYbjGlqjHN1KrWbWHftAF1KvJ5P2xQEgdfFR9lm1dMVdCOVNleLbMsyHO7ZvhAGlwMfPb6DWqirJMcK+bYZNxLIsIWNxlVrbQ1pdkNXoYbrDZres76ndvFgvUAClU5Fja4J3OpWbShEW8HVe7sQA3sWu1u1NjkJxNMCKwix5DvUcv4fXOPtTEDTbFZt9rERoMPoMNhja3e5GCXFSd1B0Mj0Gm3MM0Xl9HAmtWMMYMlbedn0wUB4PXDSJUZimjX6cb0D43mtlyJiKwWkVdEZK+I7BGRLybrF4nISyJyKPk5nKwXEfmvInJYRHaJyN1Nn/VEsv0hEXmiU/vkWliwHkDr3Rz7gsn3yUaqBCkLgzdkPE4y+Z7jo1Jjbba/7jM1ZlCNT5HZ4fusA+BLqroFeAD4vIhsAZ4GXlbVjcDLyXOAx4CNyfIk8OcQB3fgj4GPAPcDfzwe4NPA+qwHUF4c5jsuO/0K69wsYxrxQdRgm5ee/mqANZksh6mzv15BFBBYlvPaPgd0mpwNA477Pisymev67zTXZiRscEoDPIFAIYOwxUvx+A2FqMN91qo6Aowkj0dFZB+wCvgs8HCy2deBV4E/SNb/hcbZZraLyEIRWZFs+5KqngUQkZeATwPf6ugfMEt2NhhQa90cNzrK+1E8Ivz+zNzu7e2UDZkcGwZgULOqsr1SodjwWKl5RqTBwWydB4tFJEUj9E3vVDXiLAH3Fi5dVJ8LAw7Ua2zOzC2ffMotEZEdTc+fUdVnWm0oIuuAu4DXgGVJIAc4ASxLHq8CjjW97f1k3UzrU8GC9QBzRVib4qklB8m+Rp1V9TzzxJ0Y+V6pe+z1amzNpbjmZLrmcFDjjsLkY2HY9Tgic0tP23Fzr1mfVtV7r7SRiMwDvgM8paoXmy9yVVVFJF39fFfJ+qyNSYGyH8WBuklRXCp+X59fTBsptMyDkOp5T3Ru/dWzvUdbRDLEgfqbqvrdZPXJpHmb5OepZP1xYHXT229M1s20PhUsWBuTBjONfE/zibjP7alXeW20wvbRCm9UK0QtcrWnyXInw3v+5ElrAlUG/U5GiavQXwP2qepXm156Dhgf0f0E8P2m9b+VjAp/ALiQNJe/ADwqIsPJwLJHk3WpYM3gxqTAqlyG4406q5rynI/QYEXWvqKd8Ga1wqLqpQx4DT9ie1Tho6X25U9vtxvcDHuDKuWoyqZsng/DgHcade5uY873TujCNdDHgM8Bb4vIzmTdvwL+BPg/IvJ7wHvAryWvPQ88DhwGKsDvxOXUsyLyb4HXk+3+zfhgszSwM4ExKbDSy1ApJiPfI1AHluZcVmdsTEG7harUGjDU1O2QFYdiw+NCPmSBm94Utlu8AuUoZHe1xiLH4yMpHRg6TgENOz4a/CfMPMXJIy22V+DzM3zWs8Cz7Std+1iwNiYlNuRybLDY3HENlGw0vQdwoXqcjYJUB2uAkuOy1emTQYdqE3m0i/VZG2MGSh6h7kwPICedBqts8hOTUlazNsYMFBFhWd7lSKXGTZpDRDhOnVKeabnoTRt0uBl8UFiwNsYMnPW5HOe8gHcbVVThxmyGZZ71QXRCygfZ9w0L1saYgTTsegwX7BTYUaodTzc6KOxINWaAfeD7/LzuIxHgwsZ8lkWWk9yY1LFvpTED6mTgc3IsZBNJrukQ9vpl7hpyKLnWd2vmbnzWLTN39o00ZkAdrfmsZfIEELdERQ40aj0qkbnuKHFu8LksBrCatTEDy2lxHnREiOy2WNNGVrNuD6tZGzOoXKblw65qRNGzhOTGpI0Fa2MG1NZ8nrfdMvUkw9SYhhzKVLgle13PjXxFkSqH/Tpv16tULfvWnGk0t8XErBncmAFVdBw+Pr/E/kaNRqgUPYdPZEo4LaZhHBQXwpC3q1U2SoFlOOwPahQzwuYBv4C5ZgpqN1q3hQVrYwaYJ8JtuT7JM90F++s17nYuTY6xmQIH/Cq1TETesptdA+34RB6Dwo4+Y4xJuNH0VoUN5DnUqLfY2pjusZq1McYktEUPQIWIgmP1mmuhWDN4u1iwNsaYhOdCNYwoNDV5H9IqH/VKPSxVH1PsVsA2sWBtjDGJO3IF3qpX8UMQhchRbi8UBnrQ3VzZiO72sGBtjDEJR4S78sVeF8OYaSxYG2OM6YjxbKNm7ixYG2OM6QxL7902FqyNMcZ0jPVZt4fdj2CMMcaknNWsjTHGdIT1WbePBWtjjDGdodYM3i7WDG6MMcaknNWsjTHGdIw1g7eHBWtjjDEdoVi60XaxYG2MMaYzrM+6bazP2hhjjEk5q1kbY4zpGOuzbg8L1sYYYzrGmsHbw4K1McaYjlAFVatat4P1WRtjjDEpZzVrY4wxHWN91u1hwdoYYDQI2FOuIQhF12FrKY8j0utiGdP3rM+6PSxYm4F3ot7gcLnOvYUijggXgpBXz43xC8PzEAvYxlwzm8ijfazP2gy8Q5UG9xdLEzXpBZ7LpmyOw9V6j0tmjDExq1mbgZdpse4Gz+PNerXrZTHmuqKWbrRdLFibgRe2WDcWhhRda3gyZq7szq32sLORGXgr8hneqV9q8o5U2VGtsrWU72GpjOl/4xN5zGUxMatZm4F3cyHHe1JnR7WCgxCJ8tBwyUaDG2NSw4K1McDafI61+Vyvi2HM9cVm3WobC9bGGGM6xmJ1e1iwNsYY0zFWs24PG2BmjDHGpJzVrI0ZEOeigGNBgwWOyxo3a9nZriOBKgcaNSKFTbkcOUlHPUztPuu26cl/VEQ+LSIHROSwiDzdizIYM0jealQ4ryHbsgUWuC4/bZSpW/vkdWHE9/nphQqLyjmWVfK8caHGkUZ6su9FOrfFxLoerEXEBf4b8BiwBfgNEdnS7XIYMyhGQp+lrsfNXg4RYdjxeDBXYo9f63XRTBscqTbYqiVy4uCJsFmLnKiERCnJRqLR3BYT60XN+n7gsKoeUdUG8L+Bz/agHMYMhFOhzyovO2mdI4JnreB9rxJF5EN32voboizHQ78HJTKd0os+61XAsabn7wMfmbqRiDwJPJk8HXvs3MEDXSjb1VoCnO51Ia5Cv5UXOlHmc8DP2/qJU9l+7g4r8+Wcu6qt13aiCIcq51947GffWzLHj+m3/3FHpHaAmao+AzzT63JcjojsUNV7e12O2eq38oKVuVuszN3Rj2WeC1X9dK/LcL3oRTP4cWB10/Mbk3XGGGOMaaEXwfp1YKOI3CQiWeDXged6UA5jjDGmL3S9GVxVAxH5AvAC4ALPquqebpejTVLdTN9Cv5UXrMzdYmXujn4ss0kB0ZQM7zfGGGNMa+lIc2OMMcaYGVmwNsYYY1LOgvVliMhmEdnZtFwUkaembPOwiFxo2uaPelDOZ0XklIjsblq3SEReEpFDyc/hGd77RLLNIRF5osdl/o8isl9EdonI90Rk4QzvPSoibyf7e0ePy/wVETne9P9/fIb39iTF7gxl/nZTeY+KyM4Z3tur/bxaRF4Rkb0iskdEvpisT+UxfZnypvp4Nn1GVW2ZxUI8GO4EsHbK+oeBH/S4bJ8A7gZ2N637D8DTyeOngT9t8b5FwJHk53DyeLiHZX4U8JLHf9qqzMlrR4ElKdnPXwH+xSyOnXeAm4Es8BawpVdlnvL6fwb+KGX7eQVwd/J4CDhInJo4lcf0Zcqb6uPZlv5arGY9e48A76jqe70uyFSq+rfA2SmrPwt8PXn8deCXW7z1HwIvqepZVT0HvAR0JYlBqzKr6ouqGiRPtxPfg58aM+zn2ehZit3LlVniabd+DfhWN8oyW6o6oqpvJI9HgX3EmQ9TeUzPVN60H8+mv1iwnr1fZ+aT2oMi8paI/I2IbO1moS5jmaqOJI9PAMtabNMq9euqThdsln4X+JsZXlPgRRH5WZKWtte+kDR1PjtD02xa9/PHgZOqemiG13u+n0VkHXAX8Bp9cExPKW+zfjqeTQpZsJ6FJHnLLwF/2eLlN4ibxu8A/gz4qy4WbVZUVYlPCH1BRL4MBMA3Z9jkIVW9m3jmts+LyCe6Vrjp/hxYD9wJjBA3K/eL3+Dyteqe7mcRmQd8B3hKVS82v5bGY3qm8vbZ8WxSyoL17DwGvKGqJ6e+oKoXVXUsefw8kBGRuSaub4eTIrICIPl5qsU2qUv9KiK/Dfwj4DeTE/I0qno8+XkK+B5xM3NPqOpJVQ1VNQL+xwxlSeN+9oB/DHx7pm16uZ9FJEMc+L6pqt9NVqf2mJ6hvH13PJv0smA9OzPWQERkedL3h4jcT7xPz3SxbDN5DhgfCfsE8P0W27wAPCoiw0nz7aPJup4QkU8D/xL4JVWtzLBNSUSGxh8Tl3l3q227YTx4JH5lhrKkMcXuJ4H9qvp+qxd7uZ+T79PXgH2q+tWml1J5TM9U3n48nk2K9XqEW9oXoEQcfBc0rft94PeTx18A9hCP8N0OfLQHZfwWcROsT9xH93vAYuBl4BDwQ2BRsu29wP9seu/vAoeT5Xd6XObDxP2NO5PlvyfbrgSeTx7fnOzrt5L9/uUel/kbwNvALuJgsmJqmZPnjxOPEn6n12VO1v+v8WO4adu07OeHiJu4dzUdC4+n9Zi+THlTfTzb0l+LpRs1xhhjUs6awY0xxpiUs2BtjDHGpJwFa2OMMSblLFgbY4wxKWfB2hhjjEk5C9bGJEQkTGY+2i0ifykixTl81goR+UHy+GNJOtIdIrIxWbdQRF4UEafpPT+caSYpY8xgs2BtzCVVVb1TVW8DGsT3019Rkg1sqn9OnNEM4EvE990+1fSZfwj8O40zn437BvBPr6HcxpjrnAVrY1r7MbAhmUP5r5Ka8XYR2QYT81h/Q0T+jjjITvWrwP9NHvtAMVl8EVkPrFbVV6e85znibHnGGDNJqxqBMQMtqSk/Rhxs/zXwpqr+soj8IvAXxJN2QDxn8UOqWp3y/puAc6paT1b9++R9VeBzwH8irllPoqrnRCQnIotVNQ0pa40xKWHB2phLCiKyM3n8Y+J8z68R15JR1R+JyGIRmZ9s89zUQJ1YAXw4/kRVdwIPACQzKo3ED+XbxLXuL+mlSWJOEaejtGBtjJlgwdqYS6qqemfzimSOlpmUZ/ocID91ZTLhwx8ST+TxZ8STPKwD/hnw5WSzfPJ+Y4yZYH3Wxlzej4HfBBCRh4HTOmVu5RYOEgfhqX6LeAKHs8T911GyFJPPF2A5cHTuxTbGXE+sZm3M5X0FeFZEdgEVLk3ROCNVLYvIOyKyQVUPAyS3gf028RSIAF8Fnicedf5PknX3ANtVNWjrX2CM6Xs265YxHSAivwLco6rTBpJd5j3/hbgf/OXOlcwY04+sZm1MB6jq90Rk8VW+bbcFamNMK1azNsYYY1LOBpgZY4wxKWfB2hhjjEk5C9bGGGNMylmwNsYYY1LOgrUxxhiTcv8f91bGAH0+tJYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipe_tree = Pipeline([                                           # the machine learning workflow as a pipeline object\n",
    "    ('tree', tree.DecisionTreeRegressor())\n",
    "])\n",
    "\n",
    "params_tree = {                                                  # the machine learning workflow method's parameters\n",
    "    'tree__max_depth': np.arange(1,10,1,dtype = int),\n",
    "    'tree__max_leaf_nodes': np.arange(2,30,1,dtype = int),\n",
    "    'tree__min_samples_leaf': np.arange(1,10,1,dtype = int),\n",
    "}\n",
    "\n",
    "grid_cv_tuned_tree = GridSearchCV(pipe_tree, params_tree, scoring = 'neg_mean_squared_error', # grid search cross validation \n",
    "                             cv=KFold(n_splits=folds,shuffle=False),\n",
    "                             refit = True)\n",
    "\n",
    "grid_cv_tuned_tree.fit(X_orig.values,y.values)                                 # fit model with tuned hyperparameters\n",
    "\n",
    "plt.subplot(111)                                                 # visualize the tuned model\n",
    "visualize_model_wrap(grid_cv_tuned_tree,ix1,ix2,iy,'Tuned k Nearest Neighbours Prediction Model',trans=False)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=1.0, top=1.2, wspace=0.2, hspace=0.2);\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retrieve the Tuned Model Hyperparameters\n",
    "\n",
    "We can access the best model hyperparameters and choices as the best_params_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'tree__max_depth': 8, 'tree__max_leaf_nodes': 25, 'tree__min_samples_leaf': 1}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_cv_tuned_tree.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comments\n",
    "\n",
    "This is provided for an opportunity to try out pipelines for building machine learning models.\n",
    "\n",
    "* this is a basic introduction, much more could be done\n",
    "\n",
    "I hope this was helpful,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "On twitter I'm the @GeostatsGuy.\n",
    "\n",
    "\n",
    "***\n",
    "\n",
    "#### More on Michael Pyrcz and the Texas Center for Geostatistics:\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "*Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions*\n",
    "\n",
    "With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. \n",
    "\n",
    "For more about Michael check out these links:\n",
    "\n",
    "#### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Want to Work Together?\n",
    "\n",
    "I hope this content is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate.\n",
    "\n",
    "* Want to invite me to visit your company for training, mentoring, project review, workflow design and / or consulting? I'd be happy to drop by and work with you! \n",
    "\n",
    "* Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems!\n",
    "\n",
    "* I can be reached at mpyrcz@austin.utexas.edu.\n",
    "\n",
    "I'm always happy to discuss,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "#### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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